{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# B&D DS Exercise Part 1\n",
    "## January 30th, 2018\n",
    "### Dr Jose M Albornoz"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Import necessary modules"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import re\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib import style\n",
    "style.use('fivethirtyeight')\n",
    "%matplotlib inline\n",
    "\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "\n",
    "RANDOM_STATE = 801"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 1 Load data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_0 = pd.read_excel('kohls.xls')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>SHIPPER</th>\n",
       "      <th>SHIPPER ADDRESS</th>\n",
       "      <th>CONSIGNEE</th>\n",
       "      <th>CONSIGNEE ADDRESS</th>\n",
       "      <th>ZIPCODE</th>\n",
       "      <th>NOTIFY</th>\n",
       "      <th>NOTIFY ADDRESS</th>\n",
       "      <th>BILL OF LADING</th>\n",
       "      <th>ARRIVAL DATE</th>\n",
       "      <th>WEIGHT (LB)</th>\n",
       "      <th>...</th>\n",
       "      <th>DISTRIBUTION PORT</th>\n",
       "      <th>HOUSE vs MASTER</th>\n",
       "      <th>MASTER B/L</th>\n",
       "      <th>CARRIER CODE</th>\n",
       "      <th>CARRIER NAME</th>\n",
       "      <th>CARRIER ADDRESS</th>\n",
       "      <th>CARRIER CITY</th>\n",
       "      <th>CARRIER STATE</th>\n",
       "      <th>CARRIER ZIP</th>\n",
       "      <th>PLACE OF RECEIPT</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>CONTINENTAL CONAIR LIMITED</td>\n",
       "      <td>. 35 F.,STANDARD CHARTERED TOWER, MILLENNIUM C...</td>\n",
       "      <td>CONAIR CORPORATION</td>\n",
       "      <td>. 150 MILFORD ROAD EAST WINDSOR NJ 08520 U.S.A .</td>\n",
       "      <td>8520</td>\n",
       "      <td>CONAIR CORPORATION</td>\n",
       "      <td>. 150 MILFORD ROAD EAST WINDSOR NJ 08520 U.S.A .</td>\n",
       "      <td>HJSCHKG3B5123700</td>\n",
       "      <td>2013-10-07</td>\n",
       "      <td>18876.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Philadelphia, Pennsylvania</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>HJSC</td>\n",
       "      <td>HANJIN SHIPPING COMPANY LTD</td>\n",
       "      <td>80 EAST RT 4 SUITE 490</td>\n",
       "      <td>PARAMUS</td>\n",
       "      <td>NJ</td>\n",
       "      <td>7652</td>\n",
       "      <td>YANTIAN,GUANGDONG</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>DHL ISC (HONG KONG) LIMITED</td>\n",
       "      <td>O/B:PUTIAN ANGOLAOD OUTDOOR GOODS CO., LTD LIY...</td>\n",
       "      <td>STONEWALL TRADING COMPANY LP</td>\n",
       "      <td>844 MORAGA DRIVE LOS ANGELES,CA 90049 TEL:310-...</td>\n",
       "      <td>0</td>\n",
       "      <td>FED-EX TRADE NETWORK.TRANSPORT &amp;STONEWALL TRAD...</td>\n",
       "      <td>BROKERAGE(TOWER GROUP)19601844 MORAGA DRIVE LO...</td>\n",
       "      <td>EGLV146300505161</td>\n",
       "      <td>2013-10-07</td>\n",
       "      <td>7772.6</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>EGLV</td>\n",
       "      <td>EVERGREEN LINE</td>\n",
       "      <td>NO 163 SEC 1 HSIN-NAN ROAD LUCHU HSIAN</td>\n",
       "      <td>TAOYUAN HSIEN 338</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>XIAMEN, CHINA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>HUGE WAY INTERNATIONAL CO LTD</td>\n",
       "      <td>SEC 2 HIS AN ST PEI TOU DIST</td>\n",
       "      <td>STONEWALL TRADING COMPANY</td>\n",
       "      <td>5900 RODEO RD LOS ANGELES 0</td>\n",
       "      <td>0</td>\n",
       "      <td>STONEWALL TRADING COMPANY</td>\n",
       "      <td>5900 RODEO RD LOS ANGELES</td>\n",
       "      <td>DMALNGB291543</td>\n",
       "      <td>2013-10-07</td>\n",
       "      <td>1894.2</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td>H</td>\n",
       "      <td>NYKS2335539080</td>\n",
       "      <td>DMAL</td>\n",
       "      <td>DANMAR LINES LTD</td>\n",
       "      <td>33 WASHINGTON ST - 14TH FL</td>\n",
       "      <td>NEWARK</td>\n",
       "      <td>NJ</td>\n",
       "      <td>7102</td>\n",
       "      <td>NINGBO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ZHEJIANG WUYU APPAREL CO.LTD</td>\n",
       "      <td>YUANJI ROAD NO.6 ECONOMIC DEVELOPMENT ZONE ZHE...</td>\n",
       "      <td>EXCELLED SHEEPSKIN AND LEATHER</td>\n",
       "      <td>COAT CORPORATION 1400 BROADWAY 31ST FLOOR NEW ...</td>\n",
       "      <td>10018</td>\n",
       "      <td>EXCELLED SHEEPSKIN AND LEATHER</td>\n",
       "      <td>COAT CORPORATION 1400 BROADWAY 31ST FLOOR NEW ...</td>\n",
       "      <td>EURFL13907135LAX</td>\n",
       "      <td>2013-10-07</td>\n",
       "      <td>2257.2</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td>H</td>\n",
       "      <td>NYKS2372251610</td>\n",
       "      <td>EURF</td>\n",
       "      <td>EURASIA EXPRESS</td>\n",
       "      <td>11222 LA CIENEGA BLVD - #220</td>\n",
       "      <td>INGLEWOOD</td>\n",
       "      <td>CA</td>\n",
       "      <td>90304</td>\n",
       "      <td>SHANGHAI, CHINA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>DAMCO CHINA LIMITED SHANGHAI BRANCH</td>\n",
       "      <td>O B YANGZHOU TIANMAO SHOES MAKING CO LTD NO 36...</td>\n",
       "      <td>WOLVERINE WORLD WIDE, INC.</td>\n",
       "      <td>9341 COURTLAND DRIVE ROCKFORD MI 49351 EIN 38-...</td>\n",
       "      <td>0</td>\n",
       "      <td>WOLVERINE WORLD WIDE, INC.</td>\n",
       "      <td>9341 COURTLAND DRIVE ROCKFORD MI 49351 SHIPPIN...</td>\n",
       "      <td>KKLUSH5621783</td>\n",
       "      <td>2013-10-06</td>\n",
       "      <td>123272.6</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>KKLU</td>\n",
       "      <td>KAWASAKI KISEN KAISHA LTD</td>\n",
       "      <td></td>\n",
       "      <td>TOKYO</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>SHANGHAI</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>-NOT AVAILABLE-</td>\n",
       "      <td></td>\n",
       "      <td>-NOT AVAILABLE-</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>ALAB WHEELS UP INTERNATIONAL INC</td>\n",
       "      <td>11222 LA CIENEGA BOULEVARD SUITE 678 INGLEWOOD...</td>\n",
       "      <td>FTPAN47713B</td>\n",
       "      <td>2013-10-05</td>\n",
       "      <td>17833.2</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td>H</td>\n",
       "      <td>EGLV143382951379</td>\n",
       "      <td>FTPA</td>\n",
       "      <td>FASTIC TRANSPORTATION CO LTD</td>\n",
       "      <td>12F-1 NO 171 SEC 4 NANJING EAST RD</td>\n",
       "      <td>TAIPEI</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>NINGBO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>-NOT AVAILABLE-</td>\n",
       "      <td></td>\n",
       "      <td>-NOT AVAILABLE-</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>EXDO610351181</td>\n",
       "      <td>2013-10-04</td>\n",
       "      <td>5361.4</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td>H</td>\n",
       "      <td>HLCUCG2130808634</td>\n",
       "      <td>EXDO</td>\n",
       "      <td>EXPEDITORS INTERNATIONAL OF WASHINGTON INC</td>\n",
       "      <td>1015 THIRD AVE - 12TH FL</td>\n",
       "      <td>SEATTLE</td>\n",
       "      <td>WA</td>\n",
       "      <td>98104-1190</td>\n",
       "      <td>CHITTAGONG</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>-NOT AVAILABLE-</td>\n",
       "      <td></td>\n",
       "      <td>-NOT AVAILABLE-</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>EXDO610351182</td>\n",
       "      <td>2013-10-04</td>\n",
       "      <td>23883.2</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td>H</td>\n",
       "      <td>HLCUCG2130808634</td>\n",
       "      <td>EXDO</td>\n",
       "      <td>EXPEDITORS INTERNATIONAL OF WASHINGTON INC</td>\n",
       "      <td>1015 THIRD AVE - 12TH FL</td>\n",
       "      <td>SEATTLE</td>\n",
       "      <td>WA</td>\n",
       "      <td>98104-1190</td>\n",
       "      <td>CHITTAGONG</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>-NOT AVAILABLE-</td>\n",
       "      <td></td>\n",
       "      <td>-NOT AVAILABLE-</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>EXDO610351183</td>\n",
       "      <td>2013-10-04</td>\n",
       "      <td>4800.4</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td>H</td>\n",
       "      <td>HLCUCG2130808634</td>\n",
       "      <td>EXDO</td>\n",
       "      <td>EXPEDITORS INTERNATIONAL OF WASHINGTON INC</td>\n",
       "      <td>1015 THIRD AVE - 12TH FL</td>\n",
       "      <td>SEATTLE</td>\n",
       "      <td>WA</td>\n",
       "      <td>98104-1190</td>\n",
       "      <td>CHITTAGONG</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>-NOT AVAILABLE-</td>\n",
       "      <td></td>\n",
       "      <td>-NOT AVAILABLE-</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>EXDO610351184</td>\n",
       "      <td>2013-10-04</td>\n",
       "      <td>2963.4</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td>H</td>\n",
       "      <td>HLCUCG2130808634</td>\n",
       "      <td>EXDO</td>\n",
       "      <td>EXPEDITORS INTERNATIONAL OF WASHINGTON INC</td>\n",
       "      <td>1015 THIRD AVE - 12TH FL</td>\n",
       "      <td>SEATTLE</td>\n",
       "      <td>WA</td>\n",
       "      <td>98104-1190</td>\n",
       "      <td>CHITTAGONG</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10 rows × 34 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                               SHIPPER  \\\n",
       "0           CONTINENTAL CONAIR LIMITED   \n",
       "1          DHL ISC (HONG KONG) LIMITED   \n",
       "2        HUGE WAY INTERNATIONAL CO LTD   \n",
       "3         ZHEJIANG WUYU APPAREL CO.LTD   \n",
       "4  DAMCO CHINA LIMITED SHANGHAI BRANCH   \n",
       "5                      -NOT AVAILABLE-   \n",
       "6                      -NOT AVAILABLE-   \n",
       "7                      -NOT AVAILABLE-   \n",
       "8                      -NOT AVAILABLE-   \n",
       "9                      -NOT AVAILABLE-   \n",
       "\n",
       "                                     SHIPPER ADDRESS  \\\n",
       "0  . 35 F.,STANDARD CHARTERED TOWER, MILLENNIUM C...   \n",
       "1  O/B:PUTIAN ANGOLAOD OUTDOOR GOODS CO., LTD LIY...   \n",
       "2                       SEC 2 HIS AN ST PEI TOU DIST   \n",
       "3  YUANJI ROAD NO.6 ECONOMIC DEVELOPMENT ZONE ZHE...   \n",
       "4  O B YANGZHOU TIANMAO SHOES MAKING CO LTD NO 36...   \n",
       "5                                                      \n",
       "6                                                      \n",
       "7                                                      \n",
       "8                                                      \n",
       "9                                                      \n",
       "\n",
       "                        CONSIGNEE  \\\n",
       "0              CONAIR CORPORATION   \n",
       "1    STONEWALL TRADING COMPANY LP   \n",
       "2       STONEWALL TRADING COMPANY   \n",
       "3  EXCELLED SHEEPSKIN AND LEATHER   \n",
       "4      WOLVERINE WORLD WIDE, INC.   \n",
       "5                 -NOT AVAILABLE-   \n",
       "6                 -NOT AVAILABLE-   \n",
       "7                 -NOT AVAILABLE-   \n",
       "8                 -NOT AVAILABLE-   \n",
       "9                 -NOT AVAILABLE-   \n",
       "\n",
       "                                   CONSIGNEE ADDRESS  ZIPCODE  \\\n",
       "0   . 150 MILFORD ROAD EAST WINDSOR NJ 08520 U.S.A .     8520   \n",
       "1  844 MORAGA DRIVE LOS ANGELES,CA 90049 TEL:310-...        0   \n",
       "2                        5900 RODEO RD LOS ANGELES 0        0   \n",
       "3  COAT CORPORATION 1400 BROADWAY 31ST FLOOR NEW ...    10018   \n",
       "4  9341 COURTLAND DRIVE ROCKFORD MI 49351 EIN 38-...        0   \n",
       "5                                                           0   \n",
       "6                                                           0   \n",
       "7                                                           0   \n",
       "8                                                           0   \n",
       "9                                                           0   \n",
       "\n",
       "                                              NOTIFY  \\\n",
       "0                                 CONAIR CORPORATION   \n",
       "1  FED-EX TRADE NETWORK.TRANSPORT &STONEWALL TRAD...   \n",
       "2                          STONEWALL TRADING COMPANY   \n",
       "3                     EXCELLED SHEEPSKIN AND LEATHER   \n",
       "4                         WOLVERINE WORLD WIDE, INC.   \n",
       "5                   ALAB WHEELS UP INTERNATIONAL INC   \n",
       "6                                                      \n",
       "7                                                      \n",
       "8                                                      \n",
       "9                                                      \n",
       "\n",
       "                                      NOTIFY ADDRESS    BILL OF LADING  \\\n",
       "0   . 150 MILFORD ROAD EAST WINDSOR NJ 08520 U.S.A .  HJSCHKG3B5123700   \n",
       "1  BROKERAGE(TOWER GROUP)19601844 MORAGA DRIVE LO...  EGLV146300505161   \n",
       "2                          5900 RODEO RD LOS ANGELES     DMALNGB291543   \n",
       "3  COAT CORPORATION 1400 BROADWAY 31ST FLOOR NEW ...  EURFL13907135LAX   \n",
       "4  9341 COURTLAND DRIVE ROCKFORD MI 49351 SHIPPIN...     KKLUSH5621783   \n",
       "5  11222 LA CIENEGA BOULEVARD SUITE 678 INGLEWOOD...       FTPAN47713B   \n",
       "6                                                        EXDO610351181   \n",
       "7                                                        EXDO610351182   \n",
       "8                                                        EXDO610351183   \n",
       "9                                                        EXDO610351184   \n",
       "\n",
       "  ARRIVAL DATE  WEIGHT (LB)        ...                   DISTRIBUTION PORT  \\\n",
       "0   2013-10-07      18876.0        ...          Philadelphia, Pennsylvania   \n",
       "1   2013-10-07       7772.6        ...                                       \n",
       "2   2013-10-07       1894.2        ...                                       \n",
       "3   2013-10-07       2257.2        ...                                       \n",
       "4   2013-10-06     123272.6        ...                                       \n",
       "5   2013-10-05      17833.2        ...                                       \n",
       "6   2013-10-04       5361.4        ...                                       \n",
       "7   2013-10-04      23883.2        ...                                       \n",
       "8   2013-10-04       4800.4        ...                                       \n",
       "9   2013-10-04       2963.4        ...                                       \n",
       "\n",
       "  HOUSE vs MASTER        MASTER B/L  CARRIER CODE  \\\n",
       "0                                            HJSC   \n",
       "1                                            EGLV   \n",
       "2               H    NYKS2335539080          DMAL   \n",
       "3               H    NYKS2372251610          EURF   \n",
       "4                                            KKLU   \n",
       "5               H  EGLV143382951379          FTPA   \n",
       "6               H  HLCUCG2130808634          EXDO   \n",
       "7               H  HLCUCG2130808634          EXDO   \n",
       "8               H  HLCUCG2130808634          EXDO   \n",
       "9               H  HLCUCG2130808634          EXDO   \n",
       "\n",
       "                                 CARRIER NAME  \\\n",
       "0                 HANJIN SHIPPING COMPANY LTD   \n",
       "1                              EVERGREEN LINE   \n",
       "2                            DANMAR LINES LTD   \n",
       "3                             EURASIA EXPRESS   \n",
       "4                   KAWASAKI KISEN KAISHA LTD   \n",
       "5                FASTIC TRANSPORTATION CO LTD   \n",
       "6  EXPEDITORS INTERNATIONAL OF WASHINGTON INC   \n",
       "7  EXPEDITORS INTERNATIONAL OF WASHINGTON INC   \n",
       "8  EXPEDITORS INTERNATIONAL OF WASHINGTON INC   \n",
       "9  EXPEDITORS INTERNATIONAL OF WASHINGTON INC   \n",
       "\n",
       "                          CARRIER ADDRESS       CARRIER CITY CARRIER STATE  \\\n",
       "0                  80 EAST RT 4 SUITE 490            PARAMUS            NJ   \n",
       "1  NO 163 SEC 1 HSIN-NAN ROAD LUCHU HSIAN  TAOYUAN HSIEN 338                 \n",
       "2              33 WASHINGTON ST - 14TH FL             NEWARK            NJ   \n",
       "3            11222 LA CIENEGA BLVD - #220          INGLEWOOD            CA   \n",
       "4                                                      TOKYO                 \n",
       "5      12F-1 NO 171 SEC 4 NANJING EAST RD             TAIPEI                 \n",
       "6                1015 THIRD AVE - 12TH FL            SEATTLE            WA   \n",
       "7                1015 THIRD AVE - 12TH FL            SEATTLE            WA   \n",
       "8                1015 THIRD AVE - 12TH FL            SEATTLE            WA   \n",
       "9                1015 THIRD AVE - 12TH FL            SEATTLE            WA   \n",
       "\n",
       "  CARRIER ZIP   PLACE OF RECEIPT  \n",
       "0        7652  YANTIAN,GUANGDONG  \n",
       "1                  XIAMEN, CHINA  \n",
       "2        7102             NINGBO  \n",
       "3       90304    SHANGHAI, CHINA  \n",
       "4                       SHANGHAI  \n",
       "5                         NINGBO  \n",
       "6  98104-1190         CHITTAGONG  \n",
       "7  98104-1190         CHITTAGONG  \n",
       "8  98104-1190         CHITTAGONG  \n",
       "9  98104-1190         CHITTAGONG  \n",
       "\n",
       "[10 rows x 34 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_0.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['SHIPPER',\n",
       " 'SHIPPER ADDRESS',\n",
       " 'CONSIGNEE',\n",
       " 'CONSIGNEE ADDRESS',\n",
       " 'ZIPCODE',\n",
       " 'NOTIFY',\n",
       " 'NOTIFY ADDRESS',\n",
       " 'BILL OF LADING',\n",
       " 'ARRIVAL DATE',\n",
       " 'WEIGHT (LB)',\n",
       " 'WEIGHT (KG)',\n",
       " 'FOREIGN PORT',\n",
       " 'US PORT',\n",
       " 'QUANTITY',\n",
       " 'Q.UNIT',\n",
       " 'MEASUREMENT',\n",
       " 'M.UNIT',\n",
       " 'SHIP REGISTERED IN',\n",
       " 'VESSEL NAME',\n",
       " 'CONTAINER NUMBER',\n",
       " 'CONTAINER COUNT',\n",
       " 'PRODUCT DETAILS',\n",
       " 'MARKS AND NUMBERS',\n",
       " 'COUNTRY OF ORIGIN',\n",
       " 'DISTRIBUTION PORT',\n",
       " 'HOUSE vs MASTER',\n",
       " 'MASTER B/L',\n",
       " 'CARRIER CODE',\n",
       " 'CARRIER NAME',\n",
       " 'CARRIER ADDRESS',\n",
       " 'CARRIER CITY',\n",
       " 'CARRIER STATE',\n",
       " 'CARRIER ZIP',\n",
       " 'PLACE OF RECEIPT']"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_0.columns.tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2365, 34)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_0.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1.1 Count of rows with empty strings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df_1 = df_0.replace(to_replace=u' ', value = np.nan)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "SHIPPER                  0\n",
       "SHIPPER ADDRESS       1687\n",
       "CONSIGNEE                0\n",
       "CONSIGNEE ADDRESS     1685\n",
       "ZIPCODE                  0\n",
       "NOTIFY                1227\n",
       "NOTIFY ADDRESS        1231\n",
       "BILL OF LADING           0\n",
       "ARRIVAL DATE             0\n",
       "WEIGHT (LB)              0\n",
       "WEIGHT (KG)              0\n",
       "FOREIGN PORT             0\n",
       "US PORT                  0\n",
       "QUANTITY                 0\n",
       "Q.UNIT                   0\n",
       "MEASUREMENT              0\n",
       "M.UNIT                 344\n",
       "SHIP REGISTERED IN       0\n",
       "VESSEL NAME              0\n",
       "CONTAINER NUMBER         0\n",
       "CONTAINER COUNT          0\n",
       "PRODUCT DETAILS          0\n",
       "MARKS AND NUMBERS        0\n",
       "COUNTRY OF ORIGIN        0\n",
       "DISTRIBUTION PORT     2329\n",
       "HOUSE vs MASTER        911\n",
       "MASTER B/L            1186\n",
       "CARRIER CODE             0\n",
       "CARRIER NAME            28\n",
       "CARRIER ADDRESS        414\n",
       "CARRIER CITY           374\n",
       "CARRIER STATE         1102\n",
       "CARRIER ZIP           1080\n",
       "PLACE OF RECEIPT         1\n",
       "dtype: int64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_1.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 2 Preliminary data exploration"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2.1 Unique shippers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "shippers = df_1['SHIPPER'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "176"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(shippers)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "shipper_counts = df_1['SHIPPER'].value_counts(normalize=False, sort=True, ascending=False, bins=None, dropna=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-NOT AVAILABLE-                        1687\n",
       "EXPEDITORS INTERNATIONAL I PVT LTD      114\n",
       "EXPEDITORS (BANGLADESH) LTD              84\n",
       "EXPEDITORS INTERNATIONAL(I)PVT.LTD       44\n",
       "EXPEDITORS INTERNATIONAL PAKISTAN        39\n",
       "KL PRIMETEX GUATEMALA S A                18\n",
       "EXPEDITORS INTERNATIONAL(I) PVT LTD      15\n",
       "DHL ISC (HONG KONG) LIMITED              13\n",
       "COSMOPOLITAN INDUSTRIES PVT LTD          13\n",
       "GOKALDAS IMAGES BANGLADESH               13\n",
       "NINGBO TEXTILES IMPORT & EXPORT COR       9\n",
       "CROWN WEARS PVT LTD.                      9\n",
       "REYABY TAIWAN LIMITED                     9\n",
       "FENGHUA DOMINOE MANUFACTURING             7\n",
       "FUZHOU HOME BROAD ARTS & CRAFTS CO.       7\n",
       "WORLDWIDE LOGISTICS CO.,LTD.XIAMEN        7\n",
       "NINGBO WUJI ELECTRIC APPLIANCES CO.       6\n",
       "LUCKY TEXTILE MILLS LIMITED               6\n",
       "CONTINENTAL CONAIR LIMITED                6\n",
       "LUANA MARKETING CORP                      6\n",
       "GAIT TRADING CO.,LIMITED                  6\n",
       "SHANGHAI EVER GREAT TOY CO ., LTD.        6\n",
       "NINGBO YORKSUN EXPORT CO.,LTD.            5\n",
       "SINO CONNECTIONS LOGISTICS INC.           5\n",
       "BABYLON DRESSES LTD.                      4\n",
       "ADVANCE WATCH CO. FAR EAST LTD.           4\n",
       "KUEHNE & NAGEL LTD SHENZHEN BRANCH        4\n",
       "PAC WORLDWIDE ASIA SDN BHD                4\n",
       "FUJIAN TIANCHENG HOLDINGS KNITWEAR        4\n",
       "TRIPLE EAGLE CONTAINER LINE (SZ) CO       4\n",
       "                                       ... \n",
       "ZHEJIANG HUATAI INTERNATIONAL             1\n",
       "SHANGHAI LIQIAN TRADING CO., LTD.         1\n",
       "SHAMSHER REZIA FASHIONS LTD               1\n",
       "SAISON LIMITED                            1\n",
       "EASTERN CROSS LOGISTICS INC               1\n",
       "SUNVIM GROUP TOWEL MILL 3 CO.,LTD         1\n",
       "CHANGZHANGZHOU DUHUA                      1\n",
       "HONGKONG PEARL RIVER EXPORTS LTD.         1\n",
       "HANGZHOU RIYANG I & E CO LTD              1\n",
       "GUANGDONG ZHONGBAO KITCHENWARE CO         1\n",
       "PHUM TROPHIENG THILEUNG                   1\n",
       "TOLL GLOBAL FORWARDING (HONG KONG)        1\n",
       "EXPEDITORS INTERNATIONAL I PVT. LTD       1\n",
       "WORLDWIDE LOGSITICS CO., LTD              1\n",
       "PRODUCTS PLUS LTD.                        1\n",
       "WELLS APPAREL, S.A.NICARAGUA              1\n",
       "GUANGZHOU XIANGXUELAN COSMETICS PAC       1\n",
       "ATTA PRINT CO.,LTD                        1\n",
       "PIVOTAL (HK) LTD.                         1\n",
       "LUCKY ZONE DEVELOPMENTLTD.                1\n",
       "MATTEL BRANDS A DIVISION OF MATTEL        1\n",
       "CONTINENTAL CONAIR, LTD.                  1\n",
       "TRIUMPH LINK LOGISTICS LTD SHENZHEN       1\n",
       "LIAONING WANYIHONG TEXTILES CO. LTD       1\n",
       "EVER SINCE INTERNATIONAL LOGISTICS        1\n",
       "SHANGHAI DRAGON CORPORATION               1\n",
       "ZHEJIANG WUYU APPAREL CO.LTD              1\n",
       "SMART CONCEPT TRADING LTD.                1\n",
       "FUZHOU BEST UNION IMP&EXP CORP.LTD        1\n",
       "JCH(HK)TECHNOGY&TRADING LIMITED           1\n",
       "Name: SHIPPER, Length: 176, dtype: int64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "shipper_counts"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.1.1 Unique shippers needs cleansing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_1.loc[df_1['SHIPPER'].isin(['EXPEDITORS INTERNATIONAL I PVT LTD', 'EXPEDITORS INTERNATIONAL(I)PVT.LTD', \n",
    "                              'EXPEDITORS INTERNATIONAL(I) PVT LTD', 'EXPEDITORS INTERNATIONAL(1)PVT.LTD',\n",
    "                              'EXPEDITORS INTERNATIONAL I PVT. LTD']), 'SHIPPER'] = \\\n",
    "'EXPEDITORS INTERNATIONAL I PVT. LTD'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "shipper_counts = df_1['SHIPPER'].value_counts(normalize=False, sort=True, ascending=False, bins=None, dropna=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-NOT AVAILABLE-                        1687\n",
       "EXPEDITORS INTERNATIONAL I PVT. LTD     175\n",
       "EXPEDITORS (BANGLADESH) LTD              84\n",
       "EXPEDITORS INTERNATIONAL PAKISTAN        39\n",
       "KL PRIMETEX GUATEMALA S A                18\n",
       "DHL ISC (HONG KONG) LIMITED              13\n",
       "GOKALDAS IMAGES BANGLADESH               13\n",
       "COSMOPOLITAN INDUSTRIES PVT LTD          13\n",
       "REYABY TAIWAN LIMITED                     9\n",
       "NINGBO TEXTILES IMPORT & EXPORT COR       9\n",
       "CROWN WEARS PVT LTD.                      9\n",
       "WORLDWIDE LOGISTICS CO.,LTD.XIAMEN        7\n",
       "FENGHUA DOMINOE MANUFACTURING             7\n",
       "FUZHOU HOME BROAD ARTS & CRAFTS CO.       7\n",
       "NINGBO WUJI ELECTRIC APPLIANCES CO.       6\n",
       "GAIT TRADING CO.,LIMITED                  6\n",
       "LUCKY TEXTILE MILLS LIMITED               6\n",
       "CONTINENTAL CONAIR LIMITED                6\n",
       "SHANGHAI EVER GREAT TOY CO ., LTD.        6\n",
       "LUANA MARKETING CORP                      6\n",
       "SINO CONNECTIONS LOGISTICS INC.           5\n",
       "NINGBO YORKSUN EXPORT CO.,LTD.            5\n",
       "KUEHNE & NAGEL LTD SHENZHEN BRANCH        4\n",
       "FUJIAN TIANCHENG HOLDINGS KNITWEAR        4\n",
       "C.H.ROBINSON WORLDWIDE LOGISTICS          4\n",
       "TRIPLE EAGLE CONTAINER LINE (SZ) CO       4\n",
       "PAC WORLDWIDE ASIA SDN BHD                4\n",
       "BABYLON DRESSES LTD.                      4\n",
       "ADVANCE WATCH CO. FAR EAST LTD.           4\n",
       "FEDEX INTERNATIONAL FREIGHT               3\n",
       "                                       ... \n",
       "SHANGHAI LIQIAN TRADING CO., LTD.         1\n",
       "SHAMSHER REZIA FASHIONS LTD               1\n",
       "SAISON LIMITED                            1\n",
       "EASTERN CROSS LOGISTICS INC               1\n",
       "SUNVIM GROUP TOWEL MILL 3 CO.,LTD         1\n",
       "CHANGZHANGZHOU DUHUA                      1\n",
       "HONGKONG PEARL RIVER EXPORTS LTD.         1\n",
       "HANGZHOU RIYANG I & E CO LTD              1\n",
       "GUANGDONG ZHONGBAO KITCHENWARE CO         1\n",
       "GUANGZHOU KAIZHAO GLASS PLASTIC CO.       1\n",
       "PHUM TROPHIENG THILEUNG                   1\n",
       "TOLL GLOBAL FORWARDING (HONG KONG)        1\n",
       "WORLDWIDE LOGSITICS CO., LTD              1\n",
       "PRODUCTS PLUS LTD.                        1\n",
       "WELLS APPAREL, S.A.NICARAGUA              1\n",
       "GUANGZHOU XIANGXUELAN COSMETICS PAC       1\n",
       "ATTA PRINT CO.,LTD                        1\n",
       "PIVOTAL (HK) LTD.                         1\n",
       "LUCKY ZONE DEVELOPMENTLTD.                1\n",
       "MATTEL BRANDS A DIVISION OF MATTEL        1\n",
       "CONTINENTAL CONAIR, LTD.                  1\n",
       "TRIUMPH LINK LOGISTICS LTD SHENZHEN       1\n",
       "LIAONING WANYIHONG TEXTILES CO. LTD       1\n",
       "EVER SINCE INTERNATIONAL LOGISTICS        1\n",
       "SHANGHAI DRAGON CORPORATION               1\n",
       "ZHEJIANG WUYU APPAREL CO.LTD              1\n",
       "SMART CONCEPT TRADING LTD.                1\n",
       "FUZHOU BEST UNION IMP&EXP CORP.LTD        1\n",
       "TRANS INDUSTRIAL CORP.                    1\n",
       "JCH(HK)TECHNOGY&TRADING LIMITED           1\n",
       "Name: SHIPPER, Length: 172, dtype: int64"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "shipper_counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABDAAAAI4CAYAAACcFxlBAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\ngg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1d3e7fe3860>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#all values under trash sum to one category\n",
    "tresh = 10\n",
    "a = shipper_counts[shipper_counts <= tresh].sum()\n",
    "shipper_counts = shipper_counts[shipper_counts > tresh]\n",
    "\n",
    "#then add to filtered df\n",
    "shipper_counts.loc['another'] = a\n",
    "\n",
    "#last plot\n",
    "fig = plt.figure(figsize=(15,8))\n",
    "ax = fig.add_subplot(1, 1, 1,)\n",
    "shipper_counts.plot(kind='bar')\n",
    "plt.title('SHIPPERS', fontsize=20)\n",
    "plt.xticks(rotation=70)\n",
    "\n",
    "for tick in ax.xaxis.get_majorticklabels():\n",
    "    tick.set_horizontalalignment(\"right\")\n",
    "    \n",
    "for tick in ax.xaxis.get_major_ticks():\n",
    "    tick.label.set_fontsize(14) \n",
    "\n",
    "for tick in ax.yaxis.get_major_ticks():\n",
    "    tick.label.set_fontsize(14) \n",
    "    \n",
    "ax.set_ylabel('Consignment count', fontsize=14)\n",
    "ax.set_xlabel('Shipper name', fontsize=14)\n",
    "\n",
    "plt.tight_layout()\n",
    "\n",
    "fig.savefig('fig1.png', facecolor=fig.get_facecolor(), edgecolor='none')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2.2 Unique consignees"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "consignees = df_1['CONSIGNEE'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "144"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(consignees)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "consignee_counts = df_1['CONSIGNEE'].value_counts(normalize=False, sort=True, ascending=False, bins=None, dropna=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-NOT AVAILABLE-                        1685\n",
       "EXPEDITORS INTL OF WA INC               153\n",
       "KOHL S DEPARTMENT STORES                114\n",
       "KOHL S DEPARTMENT STORES INC             50\n",
       "EXPEDITORS INTERNATIONAL OF              20\n",
       "STONEWALL TRADING COMPANY LP             17\n",
       "EXPEDITORS INTL-LAX (EIO)                15\n",
       "STRATTON HOME                            14\n",
       "CARDINAL INDUSTRIES INC                  13\n",
       "KOHL?S                                    9\n",
       "CONAIR CORPORATION                        9\n",
       "WORLDWIDE LOGISTICS USA                   8\n",
       "KOHL S DEPARTMENT STORES, .               8\n",
       "CARDINAL INDUSTRIES,INC.                  7\n",
       "LILLY AND ASSOCIATES INTERNATIONAL        7\n",
       "1888 MILLS SOUTHERN TERRY                 6\n",
       "KUEHNE + NAGEL,INC.                       5\n",
       "IMPACT INNOVATIONS, INC                   5\n",
       "G-III APPAREL GROUP,LTD.                  5\n",
       "C.H.ROBINSON INTERNATIONAL INC.           5\n",
       "DANIEL M. FRIEDMAN & ASSOCIATES           5\n",
       "AEROGROUP INTL INC                        5\n",
       "S.GOLDBERG & CO., INC.                    4\n",
       "PAC WORLDWIDE INC.                        4\n",
       "JANSPORT, A DIVISION OF VF OUTDOOR        4\n",
       "DANIEL M. FRIEDMAN & ASSOCIATES, IN       4\n",
       "THE ASHLEY COLLECTION INC.DBA PROTO       4\n",
       "ADVANCE WATCH COMPANY, LTD                4\n",
       "LIFETIME BRANDS INC.                      4\n",
       "CARDINAL INDUSTRIES, INC.                 4\n",
       "                                       ... \n",
       "WEIDA FREIGHT SYSTEM, INC.                1\n",
       "SCHENKER INC.                             1\n",
       "VANS , A DIVISION OF VF OUTDOOR INC       1\n",
       "STONEWALL TRADING COMPANY                 1\n",
       "CARDINAL INDUSTRIES INC21-01 51ST         1\n",
       "BIOWORLD MERCHANDISING INC                1\n",
       "UNTO THE ORDER OF                         1\n",
       "EVER LUCK CORP.                           1\n",
       "COLUMBIA CONTAINER LINE USA INC           1\n",
       "LILLY AND ASSOCIATES                      1\n",
       "UNION LOGISTICS, INC.                     1\n",
       "ACME-MCCRARY CORPORATION                  1\n",
       "WORLDWIDE LOGSITICS USA 6885 NW 25        1\n",
       "DSV AIR & SEA INC. I902                   1\n",
       "MYSTIC, INC.                              1\n",
       "MACRO INTERNATIONAL TRADING INC.          1\n",
       "CARDINAL INDUSTRIES                       1\n",
       "VIRGINIA CANDLE COMPANY DC                1\n",
       "MAD DOG CONCEPTS INC                      1\n",
       "C.H.ROBINSON INTERNATIONAL INC            1\n",
       "ARIES GLOBAL LOGISTICS INC.               1\n",
       "AVANTI TRANSPORT SERVICES INC.            1\n",
       "UNITED CUSTOMS SERVICES INC.              1\n",
       "WHO-S THERE,INC.                          1\n",
       "KOHL S DEPARTMENT STORES, INC.            1\n",
       "YUSEN LOGISTICS (AMERICAS) INC.           1\n",
       "MOTHERLINES INC                           1\n",
       "TOP SINCE LOGISTICS, INC.                 1\n",
       "LF ACCESSORIES GROUPLLC                   1\n",
       "FEDEX TRADE NETWORKS TRANSPORT &          1\n",
       "Name: CONSIGNEE, dtype: int64"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "consignee_counts"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.2.1 Consignees needs cleansing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_1.loc[df_1['CONSIGNEE'].isin(['KOHL S DEPARTMENT STORES', 'KOHL S DEPARTMENT STORES INC', \n",
    "                                 'KOHL?S ', 'KOHL S DEPARTMENT STORES, .']), 'CONSIGNEE'] = \\\n",
    "'KOHL S DEPARTMENT STORES'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "consignee_counts = df_1['CONSIGNEE'].value_counts(normalize=False, sort=True, ascending=False, bins=None, dropna=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-NOT AVAILABLE-                        1685\n",
       "KOHL S DEPARTMENT STORES                172\n",
       "EXPEDITORS INTL OF WA INC               153\n",
       "EXPEDITORS INTERNATIONAL OF              20\n",
       "STONEWALL TRADING COMPANY LP             17\n",
       "EXPEDITORS INTL-LAX (EIO)                15\n",
       "STRATTON HOME                            14\n",
       "CARDINAL INDUSTRIES INC                  13\n",
       "KOHL?S                                    9\n",
       "CONAIR CORPORATION                        9\n",
       "WORLDWIDE LOGISTICS USA                   8\n",
       "CARDINAL INDUSTRIES,INC.                  7\n",
       "LILLY AND ASSOCIATES INTERNATIONAL        7\n",
       "1888 MILLS SOUTHERN TERRY                 6\n",
       "IMPACT INNOVATIONS, INC                   5\n",
       "KUEHNE + NAGEL,INC.                       5\n",
       "G-III APPAREL GROUP,LTD.                  5\n",
       "C.H.ROBINSON INTERNATIONAL INC.           5\n",
       "DANIEL M. FRIEDMAN & ASSOCIATES           5\n",
       "AEROGROUP INTL INC                        5\n",
       "CARDINAL INDUSTRIES, INC.                 4\n",
       "ADVANCE WATCH COMPANY, LTD                4\n",
       "THE ASHLEY COLLECTION INC.DBA PROTO       4\n",
       "WOLVERINE WORLD WIDE, INC.                4\n",
       "PAC WORLDWIDE INC.                        4\n",
       "JANSPORT, A DIVISION OF VF OUTDOOR        4\n",
       "S.GOLDBERG & CO., INC.                    4\n",
       "LIFETIME BRANDS INC.                      4\n",
       "DANIEL M. FRIEDMAN & ASSOCIATES, IN       4\n",
       "MAESA LLC                                 3\n",
       "                                       ... \n",
       "TRANS WORLD LOGISTICS                     1\n",
       "WEIDA FREIGHT SYSTEM, INC.                1\n",
       "SCHENKER INC.                             1\n",
       "VANS , A DIVISION OF VF OUTDOOR INC       1\n",
       "STONEWALL TRADING COMPANY                 1\n",
       "CARDINAL INDUSTRIES INC21-01 51ST         1\n",
       "UNTO THE ORDER OF:                        1\n",
       "BIOWORLD MERCHANDISING INC                1\n",
       "MAD DOG CONCEPTS INC                      1\n",
       "LILLY AND ASSOCIATES                      1\n",
       "UNION LOGISTICS, INC.                     1\n",
       "ACME-MCCRARY CORPORATION                  1\n",
       "WORLDWIDE LOGSITICS USA 6885 NW 25        1\n",
       "DSV AIR & SEA INC. I902                   1\n",
       "MYSTIC, INC.                              1\n",
       "MACRO INTERNATIONAL TRADING INC.          1\n",
       "CARDINAL INDUSTRIES                       1\n",
       "VIRGINIA CANDLE COMPANY DC                1\n",
       "C.H.ROBINSON INTERNATIONAL INC            1\n",
       "EVER LUCK CORP.                           1\n",
       "ARIES GLOBAL LOGISTICS INC.               1\n",
       "AVANTI TRANSPORT SERVICES INC.            1\n",
       "UNITED CUSTOMS SERVICES INC.              1\n",
       "WHO-S THERE,INC.                          1\n",
       "KOHL S DEPARTMENT STORES, INC.            1\n",
       "YUSEN LOGISTICS (AMERICAS) INC.           1\n",
       "MOTHERLINES INC                           1\n",
       "TOP SINCE LOGISTICS, INC.                 1\n",
       "LF ACCESSORIES GROUPLLC                   1\n",
       "FEDEX TRADE NETWORKS TRANSPORT &          1\n",
       "Name: CONSIGNEE, dtype: int64"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "consignee_counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x11af18d10>"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAaMAAAG1CAYAAABUGptyAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nS+dmZGZm6dyMzMws3Z+nynWUCwd69gAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x104ed5dd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#all values under trash sum to one category\n",
    "tresh = 10\n",
    "a = consignee_counts[consignee_counts <= tresh].sum()\n",
    "consignee_counts = consignee_counts[consignee_counts > tresh]\n",
    "\n",
    "#then add to filtered df\n",
    "consignee_counts.loc['another'] = a\n",
    "\n",
    "#last plot\n",
    "consignee_counts.plot(kind='bar')\n",
    "plt.title('CONSIGNEE')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2.3 Arrival date"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "arrival_dates = df_1['ARRIVAL DATE'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "146"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(arrival_dates)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "arrival_date_counts = df_1['ARRIVAL DATE'].value_counts(normalize=False, sort=True, ascending=False, bins=None, dropna=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2013-04-30    316\n",
       "2013-05-04    233\n",
       "2013-04-17    204\n",
       "2013-05-16    145\n",
       "2013-04-24     83\n",
       "2013-10-01     71\n",
       "2013-09-03     58\n",
       "2013-07-11     52\n",
       "2013-07-02     50\n",
       "2013-08-10     47\n",
       "2013-07-30     41\n",
       "2013-08-30     40\n",
       "2013-09-12     37\n",
       "2013-06-06     35\n",
       "2013-08-29     31\n",
       "2013-08-06     30\n",
       "2013-10-04     27\n",
       "2013-09-11     25\n",
       "2013-07-13     24\n",
       "2013-07-18     23\n",
       "2013-09-24     23\n",
       "2013-08-15     20\n",
       "2013-07-26     19\n",
       "2013-04-23     18\n",
       "2013-08-31     17\n",
       "2013-08-27     17\n",
       "2013-08-02     17\n",
       "2013-07-19     17\n",
       "2013-08-22     16\n",
       "2013-05-06     16\n",
       "             ... \n",
       "2013-04-21      2\n",
       "2013-06-28      2\n",
       "2013-04-26      2\n",
       "2013-08-05      2\n",
       "2013-07-15      2\n",
       "2013-04-29      2\n",
       "2013-06-10      2\n",
       "2013-05-30      2\n",
       "2013-08-19      1\n",
       "2013-08-16      1\n",
       "2013-06-22      1\n",
       "2013-10-02      1\n",
       "2013-05-03      1\n",
       "2013-06-21      1\n",
       "2013-06-05      1\n",
       "2013-10-05      1\n",
       "2013-06-17      1\n",
       "2013-08-24      1\n",
       "2013-05-11      1\n",
       "2013-06-29      1\n",
       "2013-06-02      1\n",
       "2013-10-06      1\n",
       "2013-08-25      1\n",
       "2013-07-28      1\n",
       "2013-06-08      1\n",
       "2013-06-18      1\n",
       "2013-10-03      1\n",
       "2013-07-24      1\n",
       "2013-05-31      1\n",
       "2013-05-23      1\n",
       "Name: ARRIVAL DATE, dtype: int64"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "arrival_date_counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "metadata": {},
   "outputs": [],
   "source": [
    "dates = arrival_date_counts.index.tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABC8AAAI5CAYAAACB7hCBAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nnRclJSUlJSUlJSUlJSUlJSWNzv8Hsdbbd9km0VEAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1246c7d10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# all values under tresh sum to one category\n",
    "tresh = 10\n",
    "a = arrival_date_counts[arrival_date_counts <= tresh].sum()\n",
    "arrival_date_counts = arrival_date_counts[arrival_date_counts > tresh]\n",
    "\n",
    "#then add to filtered df\n",
    "arrival_date_counts.loc['another'] = a\n",
    "\n",
    "fig = plt.figure(figsize=(15,8))\n",
    "ax = fig.add_subplot(1, 1, 1,)\n",
    "arrival_date_counts.plot(kind='bar')\n",
    "plt.title('ARRIVAL DATE', fontsize=20)\n",
    "plt.xticks(rotation=70)\n",
    "\n",
    "for tick in ax.xaxis.get_majorticklabels():\n",
    "    tick.set_horizontalalignment(\"right\")\n",
    "    \n",
    "for tick in ax.xaxis.get_major_ticks():\n",
    "    tick.label.set_fontsize(14) \n",
    "\n",
    "for tick in ax.yaxis.get_major_ticks():\n",
    "    tick.label.set_fontsize(14) \n",
    "\n",
    "plt.tight_layout()\n",
    "\n",
    "#fig.savefig('fig1.png', facecolor=fig.get_facecolor(), edgecolor='none')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2.4 Weight (kg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "weight = df_1['WEIGHT (KG)'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1359"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(weight)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "weight_counts = df_1['WEIGHT (KG)'].value_counts(normalize=False, sort=True, ascending=False, bins=None, dropna=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "53.0       15\n",
       "193.0      12\n",
       "165.0      11\n",
       "668.0      10\n",
       "216.0       9\n",
       "284.0       9\n",
       "266.0       9\n",
       "1591.0      9\n",
       "22.0        8\n",
       "214.0       8\n",
       "1535.0      8\n",
       "1901.0      8\n",
       "258.0       8\n",
       "541.0       7\n",
       "144.0       6\n",
       "336.0       6\n",
       "281.0       6\n",
       "2485.0      6\n",
       "137.0       6\n",
       "207.0       6\n",
       "109.0       6\n",
       "315.0       6\n",
       "215.0       6\n",
       "504.0       6\n",
       "981.0       6\n",
       "38.0        6\n",
       "5350.0      6\n",
       "57.0        5\n",
       "7344.0      5\n",
       "3850.0      5\n",
       "           ..\n",
       "3582.3      1\n",
       "2071.0      1\n",
       "2079.0      1\n",
       "2083.0      1\n",
       "10280.0     1\n",
       "6185.0      1\n",
       "2093.0      1\n",
       "10286.0     1\n",
       "2095.0      1\n",
       "2102.0      1\n",
       "2120.0      1\n",
       "14322.0     1\n",
       "26600.0     1\n",
       "14310.0     1\n",
       "10162.0     1\n",
       "6046.0      1\n",
       "1951.0      1\n",
       "10144.0     1\n",
       "6057.0      1\n",
       "6060.0      1\n",
       "10161.0     1\n",
       "26556.0     1\n",
       "18392.0     1\n",
       "6078.0      1\n",
       "14273.0     1\n",
       "17286.0     1\n",
       "2000.0      1\n",
       "2003.0      1\n",
       "2006.0      1\n",
       "13470.5     1\n",
       "Name: WEIGHT (KG), dtype: int64"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "weight_counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x11c958f50>"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAacAAAEpCAYAAAA3Ve0wAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nCyLEdqrq/MMTAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11be493d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#all values under trash sum to one category\n",
    "tresh = 1\n",
    "a = weight_counts[weight_counts <= tresh].sum()\n",
    "weight_counts = weight_counts[weight_counts > tresh]\n",
    "\n",
    "#then add to filtered df\n",
    "weight_counts.loc['another'] = a\n",
    "\n",
    "#last plot\n",
    "weight_counts.plot(kind='bar')\n",
    "plt.title('WEIGHT (KG)')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2.5 Foreign port"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "foreign_port = df_1['FOREIGN PORT'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "31"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(foreign_port)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "foreign_port_counts = df_1['FOREIGN PORT'].value_counts(normalize=False, sort=True, ascending=False, bins=None, dropna=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Singapore                  1067\n",
       "Pusan                       384\n",
       "Colombo                     244\n",
       "Yantian                     126\n",
       "Xiamen                      114\n",
       "Shanghai                     79\n",
       "Port Muhammad Bin Qasim      65\n",
       "Ningpo                       54\n",
       "Kaohsiung                    38\n",
       "Nhava Sheva                  32\n",
       "Hong Kong                    26\n",
       "Santo Tomas                  19\n",
       "Chiwan                       17\n",
       "Salalah                      16\n",
       "Jebel Ali                    16\n",
       "Mundra                       15\n",
       "All Other Malta Ports        10\n",
       "Taipei                       10\n",
       "Karachi                       8\n",
       "Ching Tao                     4\n",
       "Laem Chabang                  4\n",
       "Thanh Pho Ho Chi Minh         3\n",
       "Tanjung Pelepas               3\n",
       "Tokyo                         2\n",
       "Nansha                        2\n",
       "Vung Tau                      2\n",
       "Puerto Cortes                 1\n",
       "Fuzhou                        1\n",
       "Vancouver, BC                 1\n",
       "Bremerhaven                   1\n",
       "Hu lu Tao                     1\n",
       "Name: FOREIGN PORT, dtype: int64"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "foreign_port_counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x11d213d90>"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAaMAAAF/CAYAAADkaaagAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11c859d50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#all values under trash sum to one category\n",
    "tresh = 2\n",
    "a = foreign_port_counts[foreign_port_counts <= tresh].sum()\n",
    "foreign_port_counts = foreign_port_counts[foreign_port_counts > tresh]\n",
    "\n",
    "#then add to filtered df\n",
    "foreign_port_counts.loc['another'] = a\n",
    "\n",
    "#last plot\n",
    "foreign_port_counts.plot(kind='bar')\n",
    "plt.title('FOREIGN PORT')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2.6 US port"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "us_port = df_1['US PORT'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "16"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(us_port)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "us_port_counts = df_1['US PORT'].value_counts(normalize=False, sort=True, ascending=False, bins=None, dropna=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Los Angeles, California                     1626\n",
       "New York/Newark Area, Newark, New Jersey     397\n",
       "Long Beach, California                       187\n",
       "Savannah, Georgia                             63\n",
       "New York, New York                            33\n",
       "Miami, Florida                                19\n",
       "Tacoma, Washington                            11\n",
       "Seattle, Washington                            8\n",
       "Charleston, South Carolina                     7\n",
       "Oakland, California                            4\n",
       "Norfolk, Virginia                              3\n",
       "Boston, Massachusetts                          3\n",
       "Wilmington, North Carolina                     1\n",
       "Brunswick, Georgia                             1\n",
       "Port Everglades, Florida                       1\n",
       "Baltimore, Maryland                            1\n",
       "Name: US PORT, dtype: int64"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "us_port_counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x11d9cbc10>"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAaMAAAHNCAYAAACzaxTeAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11c83fa10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#all values under trash sum to one category\n",
    "tresh = 2\n",
    "a = us_port_counts[us_port_counts <= tresh].sum()\n",
    "us_port_counts = us_port_counts[us_port_counts > tresh]\n",
    "\n",
    "#then add to filtered df\n",
    "us_port_counts.loc['another'] = a\n",
    "\n",
    "#last plot\n",
    "us_port_counts.plot(kind='bar')\n",
    "plt.title('US PORT')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2.7 Quantity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "quantity = df_1['QUANTITY'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "926"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(quantity)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "quantity_counts = df_1['QUANTITY'].value_counts(normalize=False, sort=True, ascending=False, bins=None, dropna=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "24       23\n",
       "28       21\n",
       "32       18\n",
       "48       17\n",
       "15       16\n",
       "56       16\n",
       "80       15\n",
       "100      15\n",
       "64       15\n",
       "10       15\n",
       "120      14\n",
       "63       14\n",
       "40       13\n",
       "230      13\n",
       "66       13\n",
       "16       13\n",
       "70       12\n",
       "167      12\n",
       "12       12\n",
       "5        12\n",
       "9        12\n",
       "125      12\n",
       "34       12\n",
       "18       12\n",
       "42       11\n",
       "14       11\n",
       "47       11\n",
       "144      10\n",
       "60       10\n",
       "68       10\n",
       "         ..\n",
       "7229      1\n",
       "1086      1\n",
       "3135      1\n",
       "1090      1\n",
       "15437     1\n",
       "1108      1\n",
       "489       1\n",
       "7265      1\n",
       "3177      1\n",
       "1130      1\n",
       "4710      1\n",
       "3191      1\n",
       "1144      1\n",
       "1150      1\n",
       "2508      1\n",
       "15489     1\n",
       "1158      1\n",
       "1174      1\n",
       "1180      1\n",
       "3231      1\n",
       "3233      1\n",
       "1186      1\n",
       "1192      1\n",
       "3241      1\n",
       "1194      1\n",
       "23725     1\n",
       "461       1\n",
       "9394      1\n",
       "1206      1\n",
       "11975     1\n",
       "Name: QUANTITY, Length: 926, dtype: int64"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "quantity_counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'QUANTITY')"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZYAAAEjCAYAAAAR/ydQAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nLJKkqgwskqSqDCySpKr+P2N31lXWv7tKAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1d3e849d128>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#all values under trash sum to one category\n",
    "tresh = 5\n",
    "a = quantity_counts[quantity_counts <= tresh].sum()\n",
    "quantity_counts = quantity_counts[quantity_counts > tresh]\n",
    "\n",
    "#then add to filtered df\n",
    "quantity_counts.loc['another'] = a\n",
    "\n",
    "#last plot\n",
    "quantity_counts.plot(kind='bar')\n",
    "plt.title('QUANTITY')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2.8 Quantity unit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "quantity_unit = df_1['Q.UNIT'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(quantity_unit)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([u'CTN', u'PCS', u'PKG', u'CNT', u'CRT'], dtype=object)"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "quantity_unit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "quantity_unit_counts = df_1['Q.UNIT'].value_counts(normalize=False, sort=True, ascending=False, bins=None, dropna=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "CTN    2125\n",
       "PCS     213\n",
       "CNT      18\n",
       "PKG       8\n",
       "CRT       1\n",
       "Name: Q.UNIT, dtype: int64"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "quantity_unit_counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x120b01310>"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAaMAAAEZCAYAAAA6xErnAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11da755d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "quantity_unit_counts.plot(kind='bar')\n",
    "plt.title('Q.UNIT')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2.9 Measurement"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "measurement = df_1['MEASUREMENT'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "179"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(measurement)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "measurement_counts = df_1['MEASUREMENT'].value_counts(normalize=False, sort=True, ascending=False, bins=None, dropna=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       622\n",
       "1       221\n",
       "2       183\n",
       "3        88\n",
       "4        82\n",
       "7        69\n",
       "8        64\n",
       "5        61\n",
       "6        58\n",
       "10       51\n",
       "9        47\n",
       "11       41\n",
       "16       39\n",
       "13       38\n",
       "15       32\n",
       "12       30\n",
       "23       26\n",
       "21       26\n",
       "14       24\n",
       "20       20\n",
       "22       20\n",
       "17       20\n",
       "18       18\n",
       "24       15\n",
       "30       13\n",
       "53       13\n",
       "19       13\n",
       "58       11\n",
       "60       11\n",
       "27       11\n",
       "       ... \n",
       "214       1\n",
       "85        1\n",
       "226       1\n",
       "234       1\n",
       "244       1\n",
       "248       1\n",
       "254       1\n",
       "262       1\n",
       "264       1\n",
       "276       1\n",
       "2331      1\n",
       "290       1\n",
       "302       1\n",
       "6449      1\n",
       "364       1\n",
       "368       1\n",
       "394       1\n",
       "448       1\n",
       "522       1\n",
       "708       1\n",
       "5034      1\n",
       "5258      1\n",
       "3709      1\n",
       "3789      1\n",
       "1419      1\n",
       "43        1\n",
       "71        1\n",
       "77        1\n",
       "81        1\n",
       "5916      1\n",
       "Name: MEASUREMENT, dtype: int64"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "measurement_counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x122212a10>"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZ8AAAEmCAYAAAC9J50pAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzt3XucV1W9//HXIBdHg9EUyLtW40crL5BZmSF6tKRS0/od\nq6NplpaipZ08RynTStCTZUkXLaWwTnlK84IRXo54AU0jxYqij1OmlhiIR4aLIIzM74/P2syezXfm\n+50Lm5nh/Xw8eDCzv2vvvdbaa+/PXmuv75661tZWREREyjRoc2dARES2PAo+IiJSOgUfEREpnYKP\niIiUTsFHRERKp+AjIiKlG7y5MyCSZ2ZPAbsD73f3GYXPtgeWAC+6+6hc2qJW4Evu/uXC+rOBccBu\n7v5chX2fAZwFGPAS8CBwsbvPT58fBtwLvMrdXyqsezHwPnd/S6EceSuB3wHnu/vDufUuTnmuK6R/\nyt1fm9KtT8sOdPffF/b9JuD3wG/d/eBC+kp18zF3/5GZXQJ8AXibu/+2sM0bgRXufpqZ/Q3Yo5Pt\nHe7uD3TwuUhF6vlIX9MKrAXeX+GzY2nfZluBC4DXFP7tBHwtv6KZ7QK8E3gSOKW4YTM7C/hy+rcP\nMB5YCtxvZnsV9tlZ3jvK207A4cAa4HYz2zaX9vEKZXgN8JbC9juqlw90kK9/q7DNnYCf5fI4CPi+\nmXV2LTgot/4k4O/A6Nz2HupkXZGK1PORvug+4Bgzq3P3/EX1BOJCZ7llK919SQ3b/AiwELgVOBW4\nvPD5acBUd785W2BmHwcOBU4mglJXFfO22MxOJS7ehwO/TMtb3P35GrZ3H3B8hbxk9TKssLy5hrr5\nJ1Gfn6UQsDPu/kL2s5mtAF6pMb8iHVLPR/qiu4gL6bhsQeopHEEEj+44CZgN3A7sbWaHFj5fD4wz\ns62zBSnwHQl8q5v7rGRt+v+Vbqx7C7CfmW0YAjOz1wM7E8OB3fEPYDJwSX67Ipuago/0RWuAWcRd\nfua9wG+IobAuMbP9gf2AW9x9HtHzOK2Q7BvAUcAiM7vBzM4ws93d/Rl3f7E7haiQjx2AbwLPAd15\nRvJ34FHa18sJwAy6F8wyXwWeAq7uwTZEukTDbtJX3UIMjZ2bfj8B+EWFdF83s/8qLGsF3uDu/0i/\nnwQsdff70+83Ax83s7OziQPufoOZPZf2dwzwrwBm9nPgNHdf3Y0y5PM2CNiKCDpHuvuqXLqxaTir\nWIYp7l4cHryFCD7fTL+fQAzDFZ8PAdxYYeJBq7uPyC9w9xYz+yTwgJmd6O4/Q2QTU/CRvmomMN3M\nxgB/AiYA5wHvKqS7DPjvCusvAjCzOuBDRO8g8wvgM8CJwA+zhe5+H3CfmQ0hnvWcCHwceJGYBbcu\nJa00YjAo93kxb8PS+icAl7j7wkK6PxITCYqz3f6vwn5uAS5Nvah64nnN3VQOPucQz4mqcvcHzexa\n4Btmdmct64j0hIKP9EnuvsLM7iEuyrsAf3D358ysmHSpuz/ZyabGA7sCp5hZfpZbKzH09kMz2xW4\nELjA3Ve4+zriGcq9ZvYiEYQgghBAAzFtOm97YFkneTvHzEYBvzSz/dz92Vy6l939b52UYQN3dzP7\nMzHzb1tgpruvq1AvAP+sUjdF/5m2+9UurCPSLXrmI33ZzcBxdDzkVouTiRldBxT+fRM4xMwaiWdM\np1N5GvMKIJvZ1UR8/+eQCukOAeZXyctZQAs9f7ZyCz2vl424ezMx7PhxYGxvbVekEvV8pC+bAVwD\n7Al8qYM0w81sdIXla4lAcQLwLXf/U/5DM7sCOJt4nnOhmU0FvmNmI4kp0FsR3ws6n7gYZ89GvgNc\nZWatxASIkcCngNelvHbI3V8wswuA68zsGHe/PX00uIMyACwpTDeHCD6fJYb5ZnWyy+062O5qd1/e\nQR5/nnqIE4D7K6UR6Q3q+Uhfs+FCm75LMhd4wt2frpQGmEI83yn++wUxhPQq4LriTtz9n8BNwMnp\nudD5xLDTh4HfAvOIL6OenP/uj7tfAFxJBMOFxMV/JHBoboJDMY/5/f6A+E7OVblp3QdUyP9z6f/d\nKtTLY8Bi4C53X1NpPyn9jzuom292sE7mLGJYUX9pUjaZOv0lUxERKVvVYbfUBT+VuAuqJ+7S3knc\nPa0HFrj7xJT2dOAMYjhgsrvP3DTZFhGR/qxLPR8z+zbxHqpjgK+5+xwzuxq4A3iYmPI5FtiGGC55\nc5o5JCIiskHNEw7M7CDii3tnm9kl7j4nfTSL+O7FemCuu7cAy82sCdif+Eb2RpqbmzXeJyIywDU0\nNBS/vwZ0bcLBhcAlFZavAEYAw4Hm3PKVxPchRERE2qkp+JhZA7B37m925F/ZMZz4ct1yIggVl4uI\niLRTa89nHHBP7vf5Zpa9cXgCMIeYmnqomQ1NwWofYEGtGWlqaur2sp6uvym2ubnXV5623DL1xTz1\ndH3lqX+XqZJan/kY8Ue4Mp8Drk3vwFoI3OTuremLenOJd1RNcve1G29KRES2dDUFH3f/WuH3JuKd\nWcV004BpvZIzEREZsPSGAxERKZ2Cj4iIlE7BR0RESqfgIyIipVPwERGR0in4iIhI6RR8RESkdAo+\nIiJSOgUfEREpnYKPiIiUTsFHRERKp+AjIiKlU/AREZHSKfiIiEjpFHxERKR0Cj4iIlI6BR8RESmd\ngo+IiJROwUdEREqn4CMiIqXrE8Fn/tK1PL/1KBatatncWRERkRL0ieBz3kPLmDT/ZRavXr+5syIi\nIiXoE8FHRES2LAo+IiJSusG1JDKzC4BjgSHAd4EHgOnAemCBu09M6U4HzgDWAZPdfeYmyLOIiPRz\nVXs+ZnYY8HZ3PwQYD+wOXAlMcvfDgEFmdpyZjQbOAd4OHA1cZmZDNlnORUSk36pl2O3dwAIzuxWY\nAfwSGOvuc9Lns4CjgIOBue7e4u7LgSZg/02QZxER6efqWltbO01gZt8nejvvA15LBKDh7r5L+vxw\n4GPAHcB+7n5hWn49cL27z6603ebm5g07Hj9jCQBTxgxj5JolPSySiIhsTo2NjRt+bmhoqKuUppZn\nPi8AC929BXjCzNYAu+Y+Hw4sA5YDIyosr1l9fT2Nu7VluqmpqV0hOlrWlbRlbXNzr688bbll6ot5\nGohl6ot56qtlqqSWYbe5xDMczGxnYFvgnvQsCGACMAeYBxxqZkPNrAHYB1hQUy5ERGSLUrXn4+4z\nzeydZvYboA44E3gKuC5NKFgI3OTurWY2lQhWdcSEhLWbLusiItJf1TTV2t0vqLB4fIV004BpPcyT\niIgMcPqSqYiIlE7BR0RESqfgIyIipVPwERGR0in4iIhI6RR8RESkdAo+IiJSOgUfEREpnYKPiIiU\nTsFHRERKp+AjIiKlU/AREZHSKfiIiEjpFHxERKR0Cj4iIlI6BR8RESmdgo+IiJROwUdEREqn4CMi\nIqVT8BERkdIp+IiISOkUfEREpHQKPiIiUrrBtSQys0eB5vTr34ApwHRgPbDA3SemdKcDZwDrgMnu\nPrO3MywiIv1f1eBjZsMA3P2I3LLbgEnuPsfMrjaz44CHgXOAscA2wFwzu8vd122arIuISH9VS8/n\nAGBbM7sT2Ar4PDDW3eekz2cB7yJ6QXPdvQVYbmZNwP7Ao72fbRER6c9qeebzEnCFu78bOBP4CVCX\n+3wFMAIYTtvQHMBKoKGX8ikiIgNIXWtra6cJzGwoMMjd16TfHyF6PkPS78cCRwJ3ARNyz39uBi51\n98cqbbe5uXnDjsfPWALAlDHDGLlmSU/LJCIim1FjY+OGnxsaGuoqpall2O00YD9gopntTPRy7jKz\nw9z9fmACMBuYB0xOwaoe2AdY0JUM19fX07hbW6abmpraFaKjZV1JW9Y2N/f6ytOWW6a+mKeBWKa+\nmKe+WqZKagk+04Afmtkc4rnOqcALwHVmNgRYCNzk7q1mNhWYSwzLTXL3tTXlQkREtihVg0+arXZS\nhY/GV0g7jQhWIiIiHdKXTEVEpHQKPiIiUjoFHxERKZ2Cj4iIlE7BR0RESqfgIyIipVPwERGR0in4\niIhI6RR8RESkdAo+IiJSOgUfEREpnYKPiIiUTsFHRERKp+AjIiKlU/AREZHSKfiIiEjpFHxERKR0\nCj4iIlI6BR8RESmdgo+IiJROwUdEREqn4CMiIqVT8BERkdIp+IiISOkG15LIzEYBvwWOBF4BpgPr\ngQXuPjGlOR04A1gHTHb3mZsiwyIi0v9V7fmY2WDgGuCltOhKYJK7HwYMMrPjzGw0cA7wduBo4DIz\nG7KJ8iwiIv1cLcNuXwOuBhYBdcBYd5+TPpsFHAUcDMx19xZ3Xw40AftvgvyKiMgA0GnwMbNTgSXu\nfjcReIrrrABGAMOB5tzylUBD72VTREQGkrrW1tYOPzSz+4lnOwAHED2aMe4+NH1+LPEc6C5gQu75\nz83Ape7+WEfbbm5u3rDj8TOWADBlzDBGrlnSk/KIiMhm1tjYuOHnhoaGukppOp1wkJ7rAGBms4FP\nAVeY2Th3fwCYAMwG5gGTzWwoUA/sAyzoaobr6+tp3K0t001NTe0K0dGyrqQta5ube33lacstU1/M\n00AsU1/MU18tUyU1zXYr+BxwbZpQsBC4yd1bzWwqMJcYnpvk7mu7sW0REdkC1Bx83P2I3K/jK3w+\nDZjWC3kSEZEBTl8yFRGR0in4iIhI6RR8RESkdAo+IiJSOgUfEREpnYKPiIiUTsFHRERKp+AjIiKl\nU/AREZHSKfiIiEjpFHxERKR0Cj4iIlI6BR8RESmdgo+IiJROwUdEREqn4CMiIqVT8BERkdIp+IiI\nSOkUfEREpHQKPiIiUjoFHxERKZ2Cj4iIlE7BR0RESqfgIyIipRtcLYGZDQKuBQxYD3wKeBmYnn5f\n4O4TU9rTgTOAdcBkd5+5abItIiL9WS09n2OAVnc/FLgImAJcCUxy98OAQWZ2nJmNBs4B3g4cDVxm\nZkM2Ub5FRKQfqxp83P02ojcDsAfwIjDW3eekZbOAo4CDgbnu3uLuy4EmYP/ez7KIiPR3NT3zcff1\nZjYdmAr8FKjLfbwCGAEMB5pzy1cCDb2TTRERGUjqWltba05sZqOAecCr3H2HtOxY4EjgLmBC7vnP\nzcCl7v5YpW01Nzdv2PH4GUsAmDJmGCPXLOleSUREpE9obGzc8HNDQ0NdpTS1TDg4CdjV3S8H1gCv\nAL81s8Pc/X5gAjCbCEqTzWwoUA/sAyzoSobr6+tp3K0t001NTe0K0dGyrqQta5ube33lacstU1/M\n00AsU1/MU18tUyVVgw9wM/BDM7s/pf808GfgujShYCFwk7u3mtlUYC4xLDfJ3dfWlAsREdmiVA0+\n7v4ScGKFj8ZXSDsNmNbzbImIyECmL5mKiEjpFHxERKR0Cj4iIlI6BR8RESmdgo+IiJROwUdEREqn\n4CMiIqVT8BERkdIp+IiISOkUfEREpHQKPiIiUjoFHxERKZ2Cj4iIlE7BR0RESqfgIyIipVPwERGR\n0in4iIhI6RR8RESkdAo+IiJSOgUfEREpnYKPiIiUrs8Gn0WrWnh+61EsWtWyubMiIiK9rM8Gn8Wr\n1zNp/sssXr1+c2dFRER6WZ8NPiIiMnAN7uxDMxsM/ADYExgKTAb+BEwH1gML3H1iSns6cAawDpjs\n7jM3Wa5FRKRfq9bzOQlY6u7jgKOBbwNXApPc/TBgkJkdZ2ajgXOAt6d0l5nZkE2YbxER6cc67fkA\nPwduTD9vBbQAY919Tlo2C3gX0Qua6+4twHIzawL2Bx7t/SyLiEh/12nwcfeXAMxsOBGEPg98LZdk\nBTACGA4055avBBp6NaciIjJg1LW2tnaawMx2A24Gvu3u15vZM+6+e/rsWOBI4C5gQu75z83Ape7+\nWEfbbW5u3rDj8TOWADBlzDBGromfn996FJPmv9xumYiI9H2NjY0bfm5oaKirlKbahIPRwJ3ARHe/\nNy2eb2bj3P0BYAIwG5gHTDazoUA9sA+woKsZrq+vp3G3yPTKpWuBl9stA2hqampXsM6W92RZf19f\nedpyy9QX8zQQy9QX89RXy1RJtWc+FwLbAReZ2ReBVuAzwLfShIKFwE3u3mpmU4G5QB0xIWFtTTkQ\nEZEtTrVnPucC51b4aHyFtNOAab2TLRERGcj0JVMRESldtWG3PiV739vKpWsZXT+InbftV9kXEZGk\nX/V8sve9nffQMr3zTUSkH+tXwUdERAYGBR8RESmdgo+IiJROwUdEREqn4CMiIqVT8BERkdIp+IiI\nSOkUfEREpHQKPiIi0mPZG2jmL63tndJ6P42IiPRY9gYaeJn7jh1VNb16PiIiUjoFHxERKZ2Cj4iI\nlE7BR0RESqfgIyIipVPwERGR0in4iIhI6RR8RESkdAo+IiJSOgUfEREpnYKPiIiUrqZ3u5nZW4HL\n3f1wM3sdMB1YDyxw94kpzenAGcA6YLK7z9w0WRYRkf6uas/HzM4HrgWGpUVXApPc/TBgkJkdZ2aj\ngXOAtwNHA5eZ2ZBNlGcREennahl2+wtwfO73N7v7nPTzLOAo4GBgrru3uPtyoAnYv1dzKiIiA0bV\n4OPutwAtuUV1uZ9XACOA4UBzbvlKoKE3MigiIgNPXWtra9VEZrYHcIO7H2Jmf3f33dLyY4EjgbuA\nCbnnPzcDl7r7Yx1ts7m5ecOOx89YAsCUMcMYuSZ+fn7rUUya/3LFZcW0IiKyeeWvz/m/59PQ0FBX\nKX13/pjcY2Y2zt0fACYAs4F5wGQzGwrUA/sAC7q64fr6ehp3awRg5dK1wMsVlxXTAjQ1NdHY2Nhu\nez1Z1t/XV5623DL1xTwNxDL1xTxtzjLlr8+16E7w+RxwbZpQsBC4yd1bzWwqMJcYlpvk7rX9LVUR\nEdni1BR83P1p4JD0cxMwvkKaacC03syciIgMTN3p+fQpi1a1sHj1elZvPYptV7Ww87b9vkgiIgNe\nv3/DweLV6znvoWVMmv8yi1ev39zZERGRGvT74NORRataeH7rUSxa1VI9sYiIlGrABp/Fq9erNyQi\n0kcN2OAjIiJ9l4KPiIiUbouaGpY9B1q5dC2j6wdpZpyIyGayRfV8sudA5z20bMOzoCwgzV+6VpMT\nRERKssXf+mcBCV7mG4dsx87b6rtDIiKb2hbV86lVR98d0vRtEZHeoeDTBZq+LSLSOzSe1EOaxCAi\n0nXq+fRQpUkMIiLSOd2mbwKasCAi0jn1fDYBvexURKRzCj4lqjRbTt8zEpEtkYJPiSrNluvoi6/z\nl67VtG4RGbAUfPogfc9IRAY6BZ9+pFLPSQFJRPojBZ9+rrOAlH+OpKE8EelLFHwGoErPkTSUJyJ9\niYLPFq6nPScFLxHpDgUf2UhXek61Bi8RkTwFH+l1+rtJIlJNr773xczqgO8CBwBrgE+4+5O9uQ/p\nn7ryd5OyQFVpWf4Frptifb0aSaQcvd3zeT8wzN0PAS4Eruzl7csA0pWhvJ4OBda6flcmZvT02Vhv\nrd+X8iRSq94OPocCdwC4+yPAQb28fZHNYnMGxGrr96U81Rq8NkeQHkhBvi/Wc1fVtba2dnvlIjO7\nFrjJ3e9Mvz8FvNbdN3q7ZnNzc+/tWERE+qSGhoa6Sst7u+ezHBie336lwCMiIlu23g4+DwLvATCz\ntwF/6OXti4jIANDbU3luAY4yswfT7x/rKGFHXTERERn4evWZj4iISC30JVMRESmdgo+IiJROwUdE\nREqn4CMiIqXb7MHHzLqcBzMbVvi9vsKyUWY2ooZtDTWz+mKezGyXYt7MbMf0/rpq29RMPhGRTmyW\n2W5m9lrivW8HAS1EEPwDcJ67P5FLdwzwbWAd8Hl3/1la/jDwT+BF4CfAdWkblwL3pdV/RLzg9Cvu\nPiW3zb2BKcBaYGpKNxh4yt2PMLO3pm2+AOwKzASuAX5KvCx1G+Asd//fQpleB3wH2BfYGXgUeBL4\nrLv/s0cVJiKlMLODgO2K5/eWxMzeBKxx97/klr01vTKtUvoGd2/u6n421yt7rwMuzBcmfSn1h8A7\ncuk+DxxIBJYbzWxrd78e2Af4T2BP4CZgb+Ji/03gYaAOMCLAnGVmRwJfcvf7gWuBrwANwC+JALUM\nWJT2ORmY4O5NZvY4EUyuAI519yfMbGfgNqDYOL8DfDqleRtwXMrbNOC9PairqlIP7RigGfgd8A3g\nFWCSuy+ucRvHAUcS9bIsbecNwGrgG+7+Qkp3sbt/qRt5vNLdP9vBvuYCL9eafzN7L3FDch9xE7Md\ncC/RVrJtjgE+4O5LqpRzDnGc3lPY5v7AScRNyCVp248Cl7r7ymKZKpXVzD5CvO9wW2ApcLe731FI\nuxfRnu8DLgDeDPwReC0wMZ//Do7zO4m2+ccK+ai1nuel8mb5/A1wMBsf+0uA+RXWb3ecOmmP1wA7\nFsraApyS/s/q+U/EOby8sP//Jm4W76PtuE9KdVytnn8KnFuhPbyfuG68QtyMHg8sM7OjgK+6+wtm\n9vqUrx2JG8ri/sdQoU25e2tuPyNTmTc6n4ib4f1z668EXsfGbWJKOn7ZsRqb8rEN7dvoj4HdK6w/\n1d2fTft9E3Ht24loa1nd7Zj2PcTMHiNutFuBy8zsug7qeWZa3iWbq+fzUHrzdXF5M1FJmTcSDbEV\neDcwG/gP4BZ33y6tM93dTzWzUWndj7j73WZ2L9CaejMHEW/Z3hvYAbgc+BbwZ3e3tJ1l7r6dmd3p\n7u/O8kk0yheAD7p7S1r+GyJI5Rvcu4F9sgZnZg+4+7hKZe3kgvM48BxtJ+xuwEeIxngJbY3rGuAc\nUkMmgmMd0QBeBL4HrCCC93cqHQN3/34uP48DvwZmpfWGEz3Op4EbgInAe9z9aTObTfQ6K53I+aDw\nNHFz83Ratm86lnsBtxb29V/AVsBf0/HJ8n9y2n++wb8x/T8cGEWcaO8D3gScndvmfxM3H+cD0929\n1cy+Q9zI5Pc9ATgc+G1hm59Kx+LvxAXnFuIkGw40pfrOyvQmYEGqhmz5S0TbOZ24EC8GDiOO2Yxc\ntZ1P3MyMSPu6HRhHtNE/E+00y/8P0vZfk6uny4ChwHlZunQsKpW1Uj1/AHg98OlcPk9L5fkV7Y/9\nIuDOwv4PBt5G+3Z2Svp/eeF4Xp3295FcWX+e6vO5XD3fRLT567P9AxcRx/mR3DFaBFyV0j1UpZ6n\nAKuI8yhfT48Q5+6riDawu7uvNbPngK+n7Z2X6nh0+n1Fbv9TiXaRr+fPpnr+cW7/nyYC968Ldfo7\n4pg2pTIPT/m5jAgg+TZxUtpuE3AIMCzV2dK03VuAfwG+CPxroZ7HAV909x3N7GPAWWm/o9J6g1PZ\nzgSuc/eLzOwKYFt3P8vM/k50DvL1vCNxg3EAcA/gwHoAd7+LKjZX8LmaqLg7iMwPJxpYA9BI3H20\nEFH9/4Cvu/ufzWw3ovHvQVyUzsjeHWdmFxB3AouAJcBRAO5+eG6/DcSJ3kCcgHvl8nAB8DfiIncF\nMfR2LzH09iMiQNwJHE1U+m9o3+C+RlxsLiBOkhXEAbmCuLPKq3TBuQbYhTjpsxP2vJSnxbSdmP9C\n3G1dQjSYicAqdz84Bdxd3H3vVN5niDulHxMNLfNx4B/p5zrgLak8ZIEyBZlh7v4OMzuE+DtN41Me\n9iSCXP7CeB2wNW0X8IWpzlYQJ80NwIeAn7n72/KVYWZziAvl4cCCQv6n077BfxL4AXGC/dHd32Bm\n9wPrC8f6XqCeuFgdQQybfgA4wt2XF/bf7O4N6Vldts3ZqW4GufthKd1HiKD8TuJClpXpOOBY4DO5\n5XXAie7+dFr3bmJo+UziwpIdj1OJk/qd7n5ULk/LUj1/KZf//5eOwZqsnlI5BxE3Llm6WcC33b3d\n3Wilek511+Lu/5LL51bAUHc/tHDsn0o3aENz619JBOrLc2U6jejxX144ni+6+/ZmdndW1lTPQ4FX\ncvU8GyDdOGb7X0XcTByRHaOsnrIb0Rrq+Qbi/M7X0w+I9j+cuJHYw93XmdkKdx9uZg8QNyiz0nq/\nJi7IFfefll1ZYf+nEOfKlwt1+jSwW75NpuO0NbCs0CaagVHu/rKZ7UDcsO4NPFOog43qOZ9XM5tL\nXMdmEjfQ96ZjfXeqh5as7ZjZT4i2Ncndt8/Xs7sflbbVRHut7n4aVWyuCQdnERfctwIfBN5ODIF9\nkLhQ7p9O2hOJ98U9A+DufydOnGuB2wsvLf0HcKq7n0sEoEHEhWuDNC55JHAx8AXiorE1MIToZRwC\nfJS4YK0n7qhOIRrQM8RFdSqw0t3PdPcZ7n6vu88g7n6HAu8iLuTnEz2m+9LPryG6uDsRQWM5sJe7\nf8XdHyd6B0+nPG3n7tOIILoN0OjuU9x9obt/G9ja3b/v7t8l7qzfYGbvTsU8EiANFTxDNIxZ7v6l\n7B8RIF9K6344/Xxl+jmzQyoP7v4QcSLNIAL3U8SJeCDwezO7kBh6OIv4m04NqfGdSvTwhgGr0zFd\nZ2bvpL0GoN7d1xby3+DuX3T3O9x9InHRf4a4OfkIMNrM9knHcIcK21zj7p9Jec0u5vPzicxsXPr/\n3YVt7kvc5KwzszEpeVM6Rl/Nl8ndpxLHeMNy2noopPK2EMO9a/PHg+jl/gn4lZl91My2N7N/Iy7G\nywr53x2Yn68nIsBuVUh3ETCmQj2PKNZzqqcdcnXRkq/PwrEfbGbvKKz/XSIY5sv0DHBPheO53sw+\nCMzMykrbcFZLrp63S//y+9+PtpGA0Wa2j5ntAmxl8Zy2Wj3/zd0nVainnYgbu9uIm807zOyXxNDb\nq9Nn2xDXiPenesn2vytQV6GebyPOqfz+/0HcuG1Upylt3v+l8s80s1NSmziJaFPZNW8NsD1xI1mX\n1Z2ZvaVSPac2VZfK9M/ccR4LDM3V3Qyi7bw67ee0dAxH5Op5XDpe2xOB+GOpPDemOv0ENdDrdboh\n3ZlMcvc5uWXjgC+7+/gK6X8FXOzu89LvtxLDQrsSDe124o5qeerB7O7uz6Su/2riBDjf3eenIcR7\ngEPd/Q9pe58lekPPuPvYtOw24s7zCeBV2R14+mwY8TznUmKIYDoR6MbS1sD/Stwlvi8bXksnwFXA\n79z9iLSL9RlvAAAMGElEQVRsJHHTcCkRUL9ABOh3EL2eXxBDKq939/3MbN+Ur2xf9UQv6SViuKGO\nuCB8j+iZnubuj6STYxIx3PlLoqf5FHGD8DRxcu9F3HRkQ6Hjvf1D09cRvdDsOeJI4o72OiJQzgf+\nksq4EvgZcRF4hLhLnEn0vJ4h7uz3B/ZNF1nSCZs9k/zXVIZd0/E7jXj290/goTTkUg+8OtXdISn/\nS4lnM8Pc/bhc3uuJu9yLiWdZrWnZk8Dx7v6wxbOWnVJ9jyF6h29Om1hPBM8W4Oi0/lDi5ii72D9J\nDE8fT4wcHOnuiy2GtN9FDK3dk+0/5es2IgD9mejF75Tq/9JcPndM9XU1cUP5DuK5wnrign9XKvtv\niCHZOSmfE4Dn0zY/SvT2v5I7Ri8QAX8iMWrwJNHjeB/RJh5M9TwKuMrdN9xcmdmoXLtuIHpWpH2+\nSPQAvkr0osYTQ0pvIdrerUQ7ygLYSbS156FEO/oCsCTtf8fUDr4BfCjVaT3RE78m5XsuMQIzghg2\nXEbc7O5B9ERvS3mYkI7ZOCJQ7EME5itSPd5MnCcfTfW8J21tagXRhhqJc/Q+4tn1ulTOC4lJYMuJ\nXtorufo6jwj8uxCjMecSw+FNaR/HE215OnGzfDZVKPh0Q7qIXUmc2NnF+jHgc+5e7IKSGt+r3P2p\n9PtIomFnjeMF4g4YYrJDdmLfSww5bU9cAG8lhv6+QZxkJ6aGfAwxdLM98cwrmxX4O+KiUpwtODsN\naexAXHjHpHK0pHT/k7Z5I3FRz6/7APBs/kROyw8kLnbziQZ5NRG8lhC9gr+4+zxrP1Pxp2n/2xMN\n+3naZhqOIILU2cSJ+1fiAv4j4sKWT7sbbbMSf0LcFY4iTtoVWf4tZjpeTwQa0rZOJi6En6Rt9uQ0\nIijeTRznbJvbp/p4ghjCuZW40P/V3d+V7gxvIC4YzxJ3yy/l6vQNwP3EBSybpTmskM//SfX5SNp2\ncUbns8SFPlv2auDfUj1n9TGceIh8trtflztGlWZ67kT0gP+WW38H4gL2eK6ePkq00XMK25zm7h+3\njWeJ/opoA9ks0W2JNjChkHZn4u5/FfCFVE/TiGB0YS7dTqk+N6RL+8/a07KU9tpUT5OJwJbl/4vp\n56dyy06m7RldpUko2xI3BTum43Q8cVMylRihGUwEwUOJcyyr02wCzOW58m+Xjt0TuWP3CnERzyZ4\njCAu/K9N6bN2ktXfmams+xLBYhBxE7Y4t831RICYmD9OeRbDy9umdHsRxx7i3PgMcAbR9vITI24h\n2kM+T9sQgf9iIhje4+6Hm9k8d39LpX3nKfgMAOkEPJo4GX4OXO/u16cx4j1JswVzy+/19Hwk3S3/\njhjS2ipLRzT0dcRQQ8V1a8jThAr7XkYMLe5BnKx7p88HE728Mz1mGu4M3ODpOUBuu1ng/N9c2seJ\ni/fatOwJM3uUuLAclSvTV4gL6yPpswOIE2psytOexMVkb6JHtJYIHtk2HyYuCpfl0q0hjbkX8vRo\nKs9xuf1/nHiwfVVu/ZnERei9HdRTPk+3EBeor+WWdVR3C4kL5BuAS9z9AYvnO9lMz++l8v+EuLCu\nyq3/LBFos5mjB+bqKdvml9z9/i4cj52JCT4jKtTTGuKZWVZP2VD3K53VZyft6dF0nPP5r0/be4T2\nZWokRh6Kk1CGpOXZjL2FxI3VjcSNY36W7AcKdTqDuJFbWUPbmeXu+Rm+mNk8orc1o1B/t+Uv6ulG\n8KJCG1lD3CD9KH/sqcDimepLqQxZnawnbuym0n5ixHLiBmCjPBHXiXcQwecIM5vrheeNlWyuqdb9\nWuqRDKv0mW88s61S2jcSB3tBN5Zly/OzAvcl7jQhzQpMDavV3V9M+Tgut/xAi5l8md2Jky8/q3Ao\n8JLHVNP8uq01lmlf4sJazBMeU94xsyPcfYmZZd37V7Keo7svMrMDCvkEeGNatiLXy8zGzFcQQxgQ\nF9Ot8/kn7uq+B1zmaUZk7mS5H7jfzA5PeXqZOKny22whhkavz9KlcmR3cK/k8rQKqCvsf2vg+fz6\nZrY6HadiPVMhT63A/xXW76juWt397DRMe6HF7LcdiAvSt4Ap7v6sma1P5cznfQzxHCpfT4enQJPf\n5reB7czs04X1NzoeKU/ZMaxWT1sRF/ZO03XSnrLZoxvyTwz3XQNcXSjT/e5+Ju3NMLPFKR/ZzL4V\nxOjCycAL3jZlGXf/39SbyOr05dRWamk7I83sjML+s95ssf52LKTdifhKCcCtuW2+UuHY35PKMju3\n/lVpP79z9/MsN0M4bedx4DYzG5+WrzKzYp5aid7dA8AeFo8YbqUG6vl0Qxo2uJa2WXkbeO7ZSidp\nDyS65O/rxrJs+VeoPitwT+KEuyg1nGz5SKJb3dn6fyBuTkYX1t0urVetTF2ZqfgPogu/hLaZhl8n\nhh92Keznl+n/IXQ+K/FzxDDH4RXy//O0r6PSBWgaEXjzeZpFPNOZntvmvxNDQGO8/SzL/2DjmZKP\np20elNv/74mgPjy3/mNpvbGFfFaqp3nEhfD1NdTdB9z9NamuOpvpeUoH629H3AHn66ldrzdt81Ei\nqK6scjyOJnoFz9ZQT08QF/4nq6SreeZryv9goteYX9bR89sZnpvZR3wXaitissLfaZslO5F4Xjs4\nV6djUlmnU73tfIwYHcjPSD001d/NhfrbPv3L0h6X6mSGp+/epW2e5+6jC8dpHHFO7FzY1yDied7t\nxCjBVsSQXfY8+cRUxtcRU9EXFPI0390vsHiW+yaid1vTHxFVz6cbPB6AZ7PybulG2qctxt+7s2yj\n5amBnERuVqCZHU6M2/+eaKD55RcSF4HO1n8DcfJstG4tZeokTxcSUzvzMxUvIILK3sRd83oi+J2b\n/uX3s5/FhIkDcmmvJy5YR9I2K/FTxIW6Uv7PNbNTaZvteTpwTCFPPyGerY0vbHMr33iW5a7EkE4+\nT1OJae75/e8LfL+w/jeJi3elY1Ssp6nEDL5a6u7RXBrcvdniy9bvSXW1kpjKfzUxYaCxsP40jynH\n+XqaXtwm8Poaj8dUd59ZIW2letqTeGD/4yrpOqqnf6T9vZTPv8f39IrH/lTgSosvoWbPb+cDf7WY\n2fdgqrdFxLBpI3HRPy/lbT+ijeTr9EGiV3EY1dvOGOL50ixPE5IAzOwwYsSgWH+/ytKa2VeIdntb\nYZtfqHCcbgduz6+fS3Jxrk7OAaaa2YnuvsTjWemQVJ4rO8jTQaketwEmpN5g1anW6vmIyBbL2l7h\ntWGyTVr+MDE6cIK3n9l3ubv/upfz0G5CUm+l7c761vErzR5w93EdrDMvrbPhNWLufme1vKjnIyJb\nss8TPbGtiFd4DfN4hddqdz8+n9BzU997k7svJaZD92rabq5frI/slWavdLLO8pSmSxR8RGRLttbd\nl0HVSTkbeIVXg3WXVZ68U0c84K9l8lLFtD3YV0f1sdEQmZm9K/3YbGaTiKHebFi06ut1FHxEZEv2\nlMXrcC5y9xVmdgLxML2FmBa/0aSiXnYBHUxe6mHa7q7fUX1sVyFt9l2/ZuJZWGP6vZX4wmun9MxH\nRLZYaQbcScDP3f2ltGw0bZNy/lJtUlEv5CH7EnbV/XQlbXfW76w+PF5dVmmdT3j7Lx5/2uOVU51S\n8BERkS4zsw8TXw4+nLbvDw0C9nP3N1ZbX8NuIiLSHXcQMwKzt/BD23shq1LPR0REesTM3kO85eSJ\nwveOOqTgIyIi3WZmlxFfcp5DvEnhb+7+79XW07CbiIj0xDhPL0c1s6uIF7pWtbn+mJyIiAwMQyze\njg/pe0O1rKSej4iI9MTPgAfTK4nemn6vSs98RESkR8zsTcRfVf2zuxf/BExFCj4iItJt6c9bfJh4\nOzsA7v7lauvpmY+IiPTEjcRf2F2c+1eVnvmIiEhPrHD3L1RP1p6Cj4iI9MQCM/sQ8Uf4srdaP1Ft\nJQUfERHpiQOJvwGUGQa8o9pKeuYjIiI98TPiT8nvBbyW+BPbVSn4iIhIT5wFHAb8CjgVqGmqtYKP\niIj0xCJ3fw4Y7u73UfkPz21EwUdERHqi2czeD7Sa2SeBHWtZScFHRER64hPA08Rff90bOKeWlfSG\nAxERKZ16PiIiUjoFHxERKZ2Cj4iIlE7BR0RESvf/AY+H/pPwzrSmAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11db86850>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#all values under trash sum to one category\n",
    "tresh = 3\n",
    "a = measurement_counts[measurement_counts <= tresh].sum()\n",
    "measurement_counts = measurement_counts[measurement_counts > tresh]\n",
    "\n",
    "#then add to filtered df\n",
    "measurement_counts.loc['another'] = a\n",
    "\n",
    "#last plot\n",
    "measurement_counts.plot(kind='bar')\n",
    "plt.title('MEASUREMENT')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2.10 Ship registration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "ship_registration = df_1['SHIP REGISTERED IN'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "21"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(ship_registration)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "ship_registration_counts = df_1['SHIP REGISTERED IN'].value_counts(normalize=False, sort=True, ascending=False, bins=None, dropna=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "PANAMA                       1091\n",
       "HONG KONG                     458\n",
       "SINGAPORE                     182\n",
       "LIBERIA                       169\n",
       "UNITED STATES                 144\n",
       "GERMANY                       111\n",
       "UNITED KINGDOM                 54\n",
       "ANTIGUA AND BARBUDA            45\n",
       "DENMARK                        30\n",
       "BAHAMAS                        17\n",
       "ISRAEL                         13\n",
       "BERMUDA                        10\n",
       "MARSHALL ISLANDS                8\n",
       "CHINA                           8\n",
       "GREECE                          8\n",
       "CYPRUS                          5\n",
       "KOREA, REPUBLIC OF              5\n",
       "MALTA                           3\n",
       "FRANCE                          2\n",
       "TAIWAN, PROVINCE OF CHINA       1\n",
       "MALAYSIA                        1\n",
       "Name: SHIP REGISTERED IN, dtype: int64"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ship_registration_counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x12249bc10>"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAaMAAAF7CAYAAAB/+OS2AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1205e3d50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#all values under trash sum to one category\n",
    "tresh = 1\n",
    "a = ship_registration_counts[ship_registration_counts <= tresh].sum()\n",
    "ship_registration_counts = ship_registration_counts[ship_registration_counts > tresh]\n",
    "\n",
    "#then add to filtered df\n",
    "ship_registration_counts.loc['another'] = a\n",
    "\n",
    "#last plot\n",
    "ship_registration_counts.plot(kind='bar')\n",
    "plt.title('SHIP REGISTERED IN')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2.11 Vessel name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "vessel_name = df_1['VESSEL NAME'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "247"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(vessel_name)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "vessel_name_counts = df_1['VESSEL NAME'].value_counts(normalize=False, sort=True, ascending=False, bins=None, dropna=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "APL WASHINGTON        335\n",
       "HYUNDAI COURAGE       237\n",
       "APL ZEEBRUGGE         214\n",
       "HYUNDAI FAITH         144\n",
       "APL LATVIA            116\n",
       "OOCL VANCOUVER         63\n",
       "APL SAVANNAH           51\n",
       "HANJIN XIAMEN          46\n",
       "APL PHOENIX            40\n",
       "APL TEXAS              40\n",
       "NYK ARTEMIS            35\n",
       "NYK APOLLO             35\n",
       "APL FRANCE             31\n",
       "OOCL OAKLAND           26\n",
       "BERLIN EXPRESS         24\n",
       "APL BOSTON             23\n",
       "CMA CGM CORAL          20\n",
       "APL AGATE              20\n",
       "DALIAN EXPRESS         20\n",
       "NYK THEMIS             18\n",
       "DENEB J                18\n",
       "HANJIN CHONGQING       18\n",
       "YANTIAN EXPRESS        17\n",
       "HANJIN PORT KELANG     17\n",
       "EVER STRONG            17\n",
       "NYK LIBRA              15\n",
       "APL PEARL              15\n",
       "CMA CGM EIFFEL         15\n",
       "MARE ATLANTICUM        14\n",
       "APL CYPRINE            14\n",
       "                     ... \n",
       "HANJIN COPENHAGEN       1\n",
       "EVER ELITE              1\n",
       "UASC JEDDAH             1\n",
       "EVER EXCEL              1\n",
       "HANJIN GREECE           1\n",
       "APL IOLITE              1\n",
       "EVER SIGMA              1\n",
       "HANJIN ROME             1\n",
       "METTE MAERSK            1\n",
       "MOL PARAMOUNT           1\n",
       "HYUNDAI LOYALTY         1\n",
       "MOL COSMOS              1\n",
       "MOL MANEUVER            1\n",
       "MANUKAI                 1\n",
       "COSCO COLOMBO           1\n",
       "EVER UNIFIC             1\n",
       "SEASPAN HAMBURG         1\n",
       "YM COSMOS               1\n",
       "SUEZ CANAL BRIDGE       1\n",
       "CAP PASADO              1\n",
       "AKINADA BRIDGE          1\n",
       "COSCO BOSTON            1\n",
       "APL SCOTLAND            1\n",
       "YM GREAT                1\n",
       "NYK RIGEL               1\n",
       "NYK CONSTELLATION       1\n",
       "NYK NEBULA              1\n",
       "ALBERT MAERSK           1\n",
       "PRETORIA                1\n",
       "MOL LOIRE               1\n",
       "Name: VESSEL NAME, dtype: int64"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vessel_name_counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x1227fe4d0>"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZ4AAAFxCAYAAABDbs5YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1214c9090>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#all values under trash sum to one category\n",
    "tresh = 13\n",
    "a = vessel_name_counts[vessel_name_counts <= tresh].sum()\n",
    "vessel_name_counts = vessel_name_counts[vessel_name_counts > tresh]\n",
    "\n",
    "#then add to filtered df\n",
    "vessel_name_counts.loc['another'] = a\n",
    "\n",
    "#last plot\n",
    "vessel_name_counts.plot(kind='bar')\n",
    "plt.title('VESSEL NAME')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2.12 Container number"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "container_number = df_1['CONTAINER NUMBER'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "840"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(container_number)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "container_number_counts = df_1['CONTAINER NUMBER'].value_counts(normalize=False, sort=True, ascending=False, bins=None, dropna=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "BMOU5212540                                                                60\n",
       "HDMU6392791                                                                56\n",
       "HDMU6332811                                                                50\n",
       "HDMU6686820                                                                42\n",
       "TCKU9089561                                                                40\n",
       "HDMU6410730                                                                36\n",
       "HDMU4438912                                                                36\n",
       "DFSU6245920                                                                33\n",
       "BSIU9344663                                                                30\n",
       "HDMU6365646                                                                30\n",
       "HDMU6691792                                                                30\n",
       "HDMU4671210                                                                30\n",
       "HDMU6534140                                                                30\n",
       "UETU5020085                                                                30\n",
       "GESU4483302                                                                28\n",
       "HDMU6291754                                                                27\n",
       "HDMU6736264                                                                27\n",
       "GESU6365952                                                                25\n",
       "HDMU6878320                                                                24\n",
       "CLHU8654186                                                                21\n",
       "GLDU0877650                                                                21\n",
       "CAXU7366063                                                                21\n",
       "CRXU9942291                                                                20\n",
       "NYKU4213873                                                                18\n",
       "HDMU4650264                                                                18\n",
       "TRLU8678521                                                                16\n",
       "APHU6611791                                                                16\n",
       "CAIU8602027                                                                15\n",
       "CAIU4103138                                                                15\n",
       "APZU4460003                                                                14\n",
       "                                                                           ..\n",
       "FSCU9983579                                                                 1\n",
       "WHLU2284674 WHLU5479941                                                     1\n",
       "NYKU4582969                                                                 1\n",
       "ILUU4003710 AMFU8793624 TTNU4801388 TGHU8975880 CLHU9097090 CLHU8991274     1\n",
       "NYKU5485808                                                                 1\n",
       "HJCU1088175 TCNU6788596 HJCU4147420                                         1\n",
       "TTNU9826239                                                                 1\n",
       "AMFU8536987 HLXU8182726                                                     1\n",
       "MSKU1715642                                                                 1\n",
       "MRKU4421383                                                                 1\n",
       "WHLU4201811 WHLU4293628 WHLU5206079 WHLU4230342                             1\n",
       "HLXU8111189                                                                 1\n",
       "TGHU4654943                                                                 1\n",
       "TGHU8012936 PONU1286506                                                     1\n",
       "NYKU4012040                                                                 1\n",
       "HLXU6481097                                                                 1\n",
       "DRYU4046229                                                                 1\n",
       "TRLU8728284                                                                 1\n",
       "INBU5246505 TCKU4541030 BMOU5079566                                         1\n",
       "NYKU8295165                                                                 1\n",
       "IMTU1099764 EMCU1382311 EISU9276366 EGHU1063074                             1\n",
       "MSKU4502086                                                                 1\n",
       "EMHU648279                                                                  1\n",
       "HJCU9019680                                                                 1\n",
       "JBHU282215                                                                  1\n",
       "EISU8021756 EMCU9794589                                                     1\n",
       "CPSU4052129                                                                 1\n",
       "FCIU8120996 HLXU6338358                                                     1\n",
       "HJCU4162912 HJCU4292264                                                     1\n",
       "HLXU4433295 CSQU4427645                                                     1\n",
       "Name: CONTAINER NUMBER, dtype: int64"
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "container_number_counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x122abd550>"
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAaYAAAIZCAYAAADtBZs+AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nvK+mY/jn0bgAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x121465550>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#all values under trash sum to one category\n",
    "tresh = 3\n",
    "a = container_number_counts[container_number_counts <= tresh].sum()\n",
    "container_number_counts = container_number_counts[container_number_counts > tresh]\n",
    "\n",
    "#then add to filtered df\n",
    "container_number_counts.loc['another'] = a\n",
    "\n",
    "#last plot\n",
    "container_number_counts.plot(kind='bar')\n",
    "plt.title('CONTAINER NUMBER')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2.13 Container count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "container_count = df_1['CONTAINER COUNT'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "18"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(container_count)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "container_count_counts = df_1['CONTAINER COUNT'].value_counts(normalize=False, sort=True, ascending=False, bins=None, dropna=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1     2043\n",
       "2      166\n",
       "3       71\n",
       "4       26\n",
       "5       21\n",
       "6       10\n",
       "7        6\n",
       "10       5\n",
       "13       3\n",
       "11       3\n",
       "8        3\n",
       "17       2\n",
       "9        1\n",
       "27       1\n",
       "18       1\n",
       "14       1\n",
       "12       1\n",
       "29       1\n",
       "Name: CONTAINER COUNT, dtype: int64"
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "container_count_counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x122fa4f10>"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAaMAAAEmCAYAAADP6P+fAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x122a12e50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#all values under trash sum to one category\n",
    "tresh = 1\n",
    "a = container_count_counts[container_count_counts <= tresh].sum()\n",
    "container_count_counts = container_count_counts[container_count_counts > tresh]\n",
    "\n",
    "#then add to filtered df\n",
    "container_count_counts.loc['another'] = a\n",
    "\n",
    "#last plot\n",
    "container_count_counts.plot(kind='bar')\n",
    "plt.title('CONTAINER COUNT')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2.14 Product details"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "product_details = df_1['PRODUCT DETAILS'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1445"
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(product_details)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "product_details_counts = df_1['PRODUCT DETAILS'].value_counts(normalize=False, sort=True, ascending=False, bins=None, dropna=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "BOYS COTTON WOVEN SHORT                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            119\n",
       "MENS COTTON WOVEN SHORT                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                             37\n",
       "READYMADE GARMENTS                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  34\n",
       "MENS COTTON WOVEN SHORTS                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            33\n",
       "COTTON MENS WOVEN SHIRT WITH HANGER                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 30\n",
       "MENS COTTON WOVEN PANT                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                              26\n",
       "GIRLS COTTON SPANDEX WOVEN SHORT                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    24\n",
       "COTTON HANDLOOM WOVEN MADE UPS                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      23\n",
       "BOYS COTTON WOVEN PANT                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                              22\n",
       "GIRLS COTTON POLYESTER SPANDEX                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      21\n",
       "BOYS COTTON KNITTED PULLOVER                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                        20\n",
       "GIRLS COTTON POLYESTER SPANDEX BERMUDA                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                              20\n",
       "BABIES COTTON KNITTED PULLOVER                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      17\n",
       "GIRLS COTTON SPANDEX WOVEN BERMUDA                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  16\n",
       "COTTON WOVEN DENIM PANTS                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            15\n",
       "GIRLS COTTON WOVEN BERMUDA                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                          15\n",
       "BOYS 100 PCT COTTON WOVEN SHORT                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                     15\n",
       "COTTON WOVEN SHORT                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  15\n",
       "BOYS COTTON WOVEN SHORTS                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            13\n",
       "COTTON MENS WOVEN SHIRT WIHT HANGER                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 12\n",
       "MENS LINEN COTTON WOVEN PANT                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                        11\n",
       "MENS COTTON WOVEN DENIM PANTS                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                       11\n",
       "COTTON HANDLOOM WOVEN MADE                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                          11\n",
       "MENS 100 PCT COTTON WOVEN SHORTS                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    10\n",
       "100 PCT COTTON POWERLOOM MADE UPS                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   10\n",
       "MENS POLYESTER VISCOSE WOVEN                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                        10\n",
       "GIRLS COTTON SPANDEX WOVEN SHORTS                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    9\n",
       "COTTON EXCLUSIVE OF DECORATION                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                       9\n",
       "MENS COTTON KNIT T SHIRT                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                             9\n",
       "MENS POLYESTER VISCOSE SHIRTS                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                        9\n",
       "                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  ... \n",
       "ONE THOUSAND ONE HUNDRED AND EIGHT CARTONS ONLY. MENS 100% COTTON KNITTED T SHIRT INV #:201307633 DTD:29.07.13 S.B.#:6763524 DTD:02.08.13                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            1\n",
       "GAMES: PO NO.21913 ITEM NO.90 661 BASIC PUZZLE FOIL BAGS IN SIDE CAP DIDPLAY PO NO.211 48 ITEM NO.62086 BIG BANG F AN EDITION GAME PO NO.21149 I TEM NO.4000 FLOOR STAND PU ZZLES-LENTICULAR PO NO.21421 GAMES: PO NO.21913 ITEM NO.90 661 BASIC PUZZLE FOIL BAGS IN SIDE CAP DIDPLAY PO NO.211 48 ITEM NO.62086 BIG BANG F AN EDITION GAME PO NO.21149 I TEM NO.4000 FLOOR STAND PU ZZLES-LENTICULAR PO NO.21421                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    1\n",
       "(1070 CARTONS) CY / CY 5350.000GW, 57.780CM, 1070CTN GENERAL DEPT STORE MERCHANDISE (GDSM) ONE THOUSAND SEVENTY CARTONS ONLY. MENS 100% COTTON WOVEN SHORTS. INV#:GI/12-13/0694 DT:16.03.13 S.B#:4480230 DT:16.03.13                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 1\n",
       "ONE HUNDRED AND ELEVAN CARTONS ONLY 100% COTTON HANDLOOM WOVEN MADE UPS YARN DYED. INV#:3039 DT:15.05.13 S.B#:5493192 DT:18.05.13                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    1\n",
       "LINENS LINENS, NOS 1175 CARTONS  2,038 SETS BATH TOWEL,HAND TOWEL,WASHCLOTH H S CODE 63 02 10 376 CARTONS SHIP P0 8149341. 114 CARTONS SHIP P0 8149485. LINENS BATH TOWEL,HAND TOWEL,WASHCLOTH H S CODE 63 02 10                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                     1\n",
       "100% RAYON WOMENS WOVEN DRESS 100% RAYON WOMENS WOVEN DRESS ROUND NECK S L LACE INSERT AT FRONT AND HEM CHEETAH PRINT UNLINED 100% RAYON WOMENS WOVEN DRESS 100% RAYON WOMENS WOVEN DRESS ROUND NECK S L LACE INSERT AT FRONT AND HEM CHEETAH PRINT UNLINED                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                          1\n",
       "SIXTY SIX CARTONS ONLY 86% STRAW 14% COTTON HANDLOOM WOVEN MADE UPS YARN DYED PLACEMAT. INV#:3074 DT:14.06.13 S.B#:5967510 DT:15.06.13 PO#:8155329 STYLE#:MULTY                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      1\n",
       "FORTY NINE CARTONS ONLY. LADIES 98- COTTON 2- SPANDEX DENIM PANT. INV #-201308368 DTD-23.08.13 S.B.#-7174798 DTD-28.08.13 P.O. #-8116914 STYLE-TSB333050D P-M NO.- 13-NKOHLW1-0836-1 PCS-392                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                         1\n",
       "EIGHTY NINE CARTONS ONLY. GIRLS 98- COTTON 2- SPANDEX WOVEN GIRLS 80- COTTON 19- POLYESTER 1- SPANDEX WOVEN DENIM PANT INV #-201307657 DTD-29.07.13 S.B.#-6697735 DTD-30.07.13 P.O. #-8072393 STYLE-GB31261                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                          1\n",
       "BOYS KNITTED SLEEP PANTS                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                             1\n",
       "NINETY FOUR CARTONS ONLY. LADIES 98% COTTON 2% SPANDEX WOVEN SKIRT INV #:201303189 DTD:13.05.13 S.B.#:5409878 DT:13.05.13 P.O#:7996805 STYLE#:SB238002DE P M NO.: 13-NKOHLW1-0416-1                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  1\n",
       "TODD GIRL PRINCESS LIGHTED SHOES ACI 69084,69085 INF DISNEY PRINCESS LIGHTED SHOES ACI70118, 70119,70120 STORE DOOR DELIVERY FREIG HT COLLECT THIS SHIPMENT CONTAINS NO REGULATED WOOD PACKAGING MATERIALS ATTN MARK SILMAN DESCRIPTION COMPLETE                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                     1\n",
       "TWO THOUSAND FIFTY TWO CARTONS ONLY 100% COTTON KNIT LAPPED SHOULDER BODYSUIT W ELBOW PATCHES. INV:INJJ-0522 13-14 DT:11.07.13                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                       1\n",
       "CHILDRENS FOOTWEAR KOHLS STYLE: CALILEVYFLORAL SHIPPERS DESIRE TO STATE THAT PO NBR: 008070880 SKU NBR: NIL XIAMEN TOP MOUNTAIN TRADE CO.,LTD.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                       1\n",
       "NINE CARTONS ONLY 100-COTTON WOVEN MENS FULL SLEEVE SHIRTS INV #-BRFL-1300434 DT-21.06.13 S.B.#-6079313 DTD-22.06.13 PO#-8014846 STYLE#-UYT33507 PM NO-13-NKOHLM1-0861-1 PCS-108                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                     1\n",
       "MENS 45% COTTON 55% LINEN WOVEN SHORT FABRIC: 45% COTTON 55% LINEN P.O#7838989 STYLE NO: FMAS137005 H.S.CODE NO: 62.03.4200 INVOICE NO:                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                              1\n",
       "READYMADE GARMENTS MILLMADE 100- COTTON WOVEN LADIES BLOUSES STYLE # - CB23121BE PONO # - 7978286 HTS CODE# 6205.20.2066 INV. # CWL-1423-2013 DT- 13-04-2013                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                         1\n",
       "FORTY NINE CARTONS ONLY 86% STRAW 14% COTTON HANDLOOM POWERLOOM WOVEN MADE UPS YARN DYED. PLACEMAT. INV #:3037 DTD:15.05.13 S.B.#:5493196 DT:18.05.13                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                1\n",
       "TREE LED WITH SNOW 2FT ORDER KLWHITE,RED,AND GREEN AW (CHRISTMAS LIGHTS) PO RELEASE NO.(MSL2)156125-3 CUSTOMER PO NUMBER32741 CUNTOMERRELEASE NO.RL327413 SHIP TO KOHLS DC 0089 9 7800 NORTH 113TH STREET MILWAUKEE,WI 43224H.S CODE9405300000 THIS SHIPMENT CONTAINS NO SOLID WOOD PACKING MATERIALS ALSO SHIPPER                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   1\n",
       "TWENTY SEVEN CARTONS ONLY 100- COTTON MENS WOVEN SHIRTS INV-TIPL-E1314-0186 DT-24.06.13 S-B NO-6109325 DT-24.06.13 PO#8097651 STYLE-MAS3334005 PCS-162 01 FREIGHT COLLECT                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            1\n",
       "CHILDRENS FOOTWEAR SHIPPERS DESIRE TO STATE THAT KOHLS STYLE:CAGIANABLACK PO NBR: 008012220 SKU NBR: NIL XIAMEN TOP MOUNTAIN TRADE                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   1\n",
       "(12250 CARTONS) CY / CY 14001.600GW, 73.220CM, 2334CTN GENERAL DEPT STORE MERCHANDISE (GDSM) TWO THOUSAND THREE HUNDRED AND THIRTY FOUR CARTONS ONLY. BOYS 100% COTTON WOVEN PANT. INV #:201300257 DTD:03.04.13 (12250 CARTONS) CY / CY 14001.600GW, 73.220CM, 2334CTN GENERAL DEPT STORE MERCHANDISE (GDSM) TWO THOUSAND THREE HUNDRED AND THIRTY FOUR CARTONS ONLY. BOYS 100% COTTON WOVEN PANT. INV #:201300257 DTD:03.04.13 (12250 CARTONS) CY / CY 14001.600GW, 73.220CM, 2334CTN GENERAL DEPT STORE MERCHANDISE (GDSM) TWO THOUSAND THREE HUNDRED AND THIRTY FOUR CARTONS ONLY. BOYS 100% COTTON WOVEN PANT. INV #:201300257 DTD:03.04.13 (12250 CARTONS) CY / CY 14001.600GW, 73.220CM, 2334CTN GENERAL DEPT STORE MERCHANDISE (GDSM) TWO THOUSAND THREE HUNDRED AND THIRTY FOUR CARTONS ONLY. BOYS 100% COTTON WOVEN PANT. INV #:201300257 DTD:03.04.13 (12250 CARTONS) CY / CY 14001.600GW, 73.220CM, 2334CTN GENERAL DEPT STORE MERCHANDISE (GDSM) TWO THOUSAND THREE HUNDRED AND THIRTY FOUR CARTONS ONLY. BOYS 100% COTTON WOVEN PANT. INV #:201300257 DTD:03.04.13      1\n",
       "LADIES-61% ACRYLIC 33% POLYESTER 6% METALLIC KNITTED SWEATER HORIZONTAL: 5 STITCHES PER 2CM PO#232722 LADIES- 100% COTTON KNITTED PULLOVER HORIZONTAL: 12 STITCHES PER 2CM PO#233851 LADIES- 76% ACRYLIC 18% POLYESTER 6% METALLIC KNITTED SWEATER                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   1\n",
       "LADIES 98% COTTON 2% SPANDEX W OVEN PANTS INTENDED MOTHER VE SSEL : MAERSK DAUPHIN .V.1304 KOHLS PO NO 7907608 SERVICE CONTRACT NO : 515044 TOTAL NO OF CARTONS : 8 TOTAL CBM : 0 .160 CBM GROSS WEIGHT : 40.00                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      1\n",
       "SIX HUNDRED - FIFTY FIVE CARTONS ONLY GIRLS 98- COTTON 2- SPANDEX WOVEN PANT INV #-201305821 DT-24.06.13 S.B.#-6111736 DT-25.06.13 P.O#-8022103 STYLE#-GB33202,GB33203AP P-M NO.- 13-NKOHLCH-0969-1 PCS-7860                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                         1\n",
       "READYMADE GARMENTS LADIES 100% COTTON WOVEN SHIRT. CAT-341 STYLE# ST331052 PO# 8067473 HTS CODE : 620630                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                             1\n",
       "COTTON PROCESSED MADE-UPS CTNS(THREE THOUSAND ONE HUNDRED FIFTEEN CARTONS ONLY) (100% COTTON PROCESSED MADE-UPS) 100% COTTON WOVEN 400TC SOLID SATIN BED SHEET SETS AS PER INV 34/0209H/14 DT 20.04.2013 COTTON PROCESSED MADE-UPS CTNS(THREE THOUSAND ONE HUNDRED FIFTEEN CARTONS ONLY) (100% COTTON PROCESSED MADE-UPS) 100% COTTON WOVEN 400TC SOLID SATIN BED SHEET SETS AS PER INV 34/0209H/14 DT 20.04.2013 COTTON PROCESSED MADE-UPS CTNS(THREE THOUSAND ONE HUNDRED FIFTEEN CARTONS ONLY) (100% COTTON PROCESSED MADE-UPS) 100% COTTON WOVEN 400TC SOLID SATIN BED SHEET SETS AS PER INV 34/0209H/14 DT 20.04.2013                                                                                                                                                                                                                                                                                                                                                                                                                                                           1\n",
       "SEVENTY CARTONS ONLY. 100% COTTON KNIT POCKET BODYSUIT INV:INJJ-0518 13-14 DT:11.07.13 S B NO:6479529 DT:16.07.13 PO#:8041721 STYLE:NGJ33001KA                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                       1\n",
       "TWENTY FOUR CARTONS ONLY. 100%COTTON WOVEN MENS FULL SLEEVE SHIRTS INV #:BRFL 1301393 DT:05.08.13 S.B.#:6939186 DTD:13.08.13 PO#:8078834 STYLE#:UYT33507)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            1\n",
       "READYMADE GARMENTS: MENS 100% COTTON WOVEN SHORT FABRIC: 100% COTTON P.O#7967412 STYLE NO: AP137205 H.S.CODE NO: 6203.42.4051 INVOICE NO:                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            1\n",
       "Name: PRODUCT DETAILS, dtype: int64"
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "product_details_counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x12390c490>"
      ]
     },
     "execution_count": 105,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAaMAAAH0CAYAAACQHkK7AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x122b6b610>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#all values under trash sum to one category\n",
    "tresh = 10\n",
    "a = product_details_counts[product_details_counts <= tresh].sum()\n",
    "product_details_counts = product_details_counts[product_details_counts > tresh]\n",
    "\n",
    "#then add to filtered df\n",
    "product_details_counts.loc['another'] = a\n",
    "\n",
    "#last plot\n",
    "product_details_counts.plot(kind='bar')\n",
    "plt.title('PRODUCT DETAILS')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2.15 Country of origin"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "country_origin = df_1['COUNTRY OF ORIGIN'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "19"
      ]
     },
     "execution_count": 107,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(country_origin)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "country_origin_counts = df_1['COUNTRY OF ORIGIN'].value_counts(normalize=False, sort=True, ascending=False, bins=None, dropna=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Singapore         1067\n",
       "China              398\n",
       "South Korea        384\n",
       "Sri Lanka          244\n",
       "Pakistan            73\n",
       "China Taiwan        48\n",
       "India               47\n",
       "Hong Kong           26\n",
       "Guatemala           19\n",
       "United Arab Em      16\n",
       "Oman                16\n",
       "Malta               10\n",
       "Vietnam              5\n",
       "Thailand             4\n",
       "Malaysia             3\n",
       "Japan                2\n",
       "Germany              1\n",
       "Honduras             1\n",
       "Canada               1\n",
       "Name: COUNTRY OF ORIGIN, dtype: int64"
      ]
     },
     "execution_count": 109,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "country_origin_counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x123c905d0>"
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAaMAAAFLCAYAAAB7guMbAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x122584c90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#all values under trash sum to one category\n",
    "tresh = 1\n",
    "a = country_origin_counts[country_origin_counts <= tresh].sum()\n",
    "country_origin_counts = country_origin_counts[country_origin_counts > tresh]\n",
    "\n",
    "#then add to filtered df\n",
    "country_origin_counts.loc['another'] = a\n",
    "\n",
    "#last plot\n",
    "country_origin_counts.plot(kind='bar')\n",
    "plt.title('COUNTRY OF ORIGIN')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2.16 Carrier code"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "carrier_code = df_1['CARRIER CODE'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "75"
      ]
     },
     "execution_count": 112,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(carrier_code)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "carrier_code_counts = df_1['CARRIER CODE'].value_counts(normalize=False, sort=True, ascending=False, bins=None, dropna=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "EXDO    1000\n",
       "NYKS     353\n",
       "APLU     322\n",
       "HLCU     189\n",
       "MAEU     112\n",
       "EGLV      45\n",
       "KKLU      29\n",
       "OOLU      22\n",
       "HDMU      20\n",
       "SMLU      18\n",
       "CMDU      14\n",
       "SMMB      12\n",
       "HJSC      12\n",
       "TYPC      12\n",
       "BANQ       9\n",
       "VZLG       9\n",
       "HJLT       9\n",
       "COSU       9\n",
       "HYSL       9\n",
       "ENCL       8\n",
       "CHNJ       8\n",
       "MSCU       8\n",
       "TECB       7\n",
       "CHHK       7\n",
       "SINO       7\n",
       "KLQI       7\n",
       "WWLL       7\n",
       "WHLC       6\n",
       "TWGD       6\n",
       "DEWC       5\n",
       "        ... \n",
       "PIFW       2\n",
       "FTNV       2\n",
       "MWNC       2\n",
       "RWRD       2\n",
       "WECD       1\n",
       "ODFN       1\n",
       "PABV       1\n",
       "EVOK       1\n",
       "CLAM       1\n",
       "HIHN       1\n",
       "TRUM       1\n",
       "UNQL       1\n",
       "EVLL       1\n",
       "PLHI       1\n",
       "SCLI       1\n",
       "TKIB       1\n",
       "FTPA       1\n",
       "DMAL       1\n",
       "SCQH       1\n",
       "ZIMU       1\n",
       "ECUI       1\n",
       "REGB       1\n",
       "WWOL       1\n",
       "AUSR       1\n",
       "TOEJ       1\n",
       "HSPG       1\n",
       "NAQA       1\n",
       "ECCI       1\n",
       "MOLU       1\n",
       "AROF       1\n",
       "Name: CARRIER CODE, dtype: int64"
      ]
     },
     "execution_count": 114,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "carrier_code_counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x123dd5f10>"
      ]
     },
     "execution_count": 115,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAaMAAAEmCAYAAADP6P+fAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11def9f50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#all values under trash sum to one category\n",
    "tresh = 10\n",
    "a = carrier_code_counts[carrier_code_counts <= tresh].sum()\n",
    "carrier_code_counts = carrier_code_counts[carrier_code_counts > tresh]\n",
    "\n",
    "#then add to filtered df\n",
    "carrier_code_counts.loc['another'] = a\n",
    "\n",
    "#last plot\n",
    "carrier_code_counts.plot(kind='bar')\n",
    "plt.title('CARRIER CODE')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2.17 Carrier name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "carrier_name = df_1['CARRIER NAME'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "67"
      ]
     },
     "execution_count": 117,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(carrier_name)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "carrier_name_counts = df_1['CARRIER NAME'].value_counts(normalize=False, sort=True, ascending=False, bins=None, dropna=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "EXPEDITORS INTERNATIONAL OF WASHINGTON INC           1000\n",
       "NYK LINE (NIPPON YUSEN KAISHA)                        353\n",
       "APL CO PTE LTD-NOL GROUP                              322\n",
       "HAPAG LLOYD A G                                       189\n",
       "MAERSK LINE                                           112\n",
       "EVERGREEN LINE                                         45\n",
       "KAWASAKI KISEN KAISHA LTD                              29\n",
       "ORIENT OVERSEAS CONTAINER LINE LTD                     22\n",
       "HYUNDAI MERCHANT MARINE                                20\n",
       "SEABOARD MARINE LTD                                    18\n",
       "COMPAGNIE MARITIME D-AFFRETEMENT                       14\n",
       "HANJIN SHIPPING COMPANY LTD                            12\n",
       "SEAMASTER LOGISTICS INC                                12\n",
       "VIZION LOGISTICS LLC                                    9\n",
       "CHINA OCEAN SHIPPING COMPANY                            9\n",
       "HECNY SHIPPING LIMITED                                  9\n",
       "HANJIN LOGISTICS INC                                    9\n",
       "BLUE ANCHOR LINE                                        9\n",
       "EASTERN CONTAINER LINE                                  8\n",
       "CHINA SHIPPING CONTAINER LINES CO LTD                   8\n",
       "MSC-MEDITERRANEAN SHIPPING COMPANY S A                  8\n",
       "CHINA SHIPPING CONTAINER LINES (HONG KONG) CO LTD       7\n",
       "WORLDWIDE LOGISTICS CO LTD                              7\n",
       "SINO CONNECTIONS LOGISTICS LTD                          7\n",
       "TRIPLE EAGLE CONTAINER LINE LTD                         7\n",
       "TRANSWELL LOGISTICS CO LTD                              6\n",
       "WAN HAI LINES LTD                                       6\n",
       "EURASIA EXPRESS                                         5\n",
       "DE WELL CONTAINER SHIPPING CORP                         5\n",
       "CHRISTAL LINES                                          5\n",
       "                                                     ... \n",
       "STAR ASIA INTERNATIONAL INC                             3\n",
       "YANG MING MARINE TRANSPORT CORP                         3\n",
       "HONOUR LANE SHIPPING LTD                                3\n",
       "TOLL GLOBAL FORWARDING (HONG KONG) LIMITED              3\n",
       "PHOENIX INTERNATIONAL                                   2\n",
       "FEDEX TRADE NETWORKS TRANSPORT & BROKERAGE INC          2\n",
       "MEADOWS WYE & CO INC                                    2\n",
       "APEX LOGISTICS INTERNATIONAL INC                        2\n",
       "ANL SINGAPORE PTE LTD                                   2\n",
       "ECONOCARIBE CONSOLIDATORS INC                           1\n",
       "UNIQUE LOGISTICS INTERNATIONAL (H K) LTD                1\n",
       "AMERICAN ROLL-ON ROLL-OFF CARRIER LLC                   1\n",
       "TRANS ORIENT EXPRESS INC                                1\n",
       "TRANS KNIGHTS INC                                       1\n",
       "HIGH LINK LINE INC                                      1\n",
       "HENFORD SHIPPING LTD                                    1\n",
       "A-SONIC LOGISTICS (USA) INC                             1\n",
       "ZIM ISRAEL NAVIGATION CO LTD                            1\n",
       "WEIDA FREIGHT SYSTEM CO LTD                             1\n",
       "WORLDWIDE OCEAN LINE                                    1\n",
       "SCANWELL CONTAINER LINE LTD                             1\n",
       "ECU LINE                                                1\n",
       "SOVEREIGN CONTAINER LINE INC                            1\n",
       "MITSUI O S K LINES LTD                                  1\n",
       "TRIUMPH LINK LOGISTICS LTD                              1\n",
       "PACIFIC INTERNATIONAL LINES (PTE) LTD                   1\n",
       "CROWLEY LATIN AMERICA SERVICES LLC                      1\n",
       "NACA (VANGUARD LOGISTICS SERVICES)                      1\n",
       "FASTIC TRANSPORTATION CO LTD                            1\n",
       "DANMAR LINES LTD                                        1\n",
       "Name: CARRIER NAME, dtype: int64"
      ]
     },
     "execution_count": 119,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "carrier_name_counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x1240b67d0>"
      ]
     },
     "execution_count": 120,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAaMAAAICCAYAAABiPaIiAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAn6Rl/gAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x123a7bf50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#all values under trash sum to one category\n",
    "tresh = 10\n",
    "a = carrier_name_counts[carrier_name_counts <= tresh].sum()\n",
    "carrier_name_counts = carrier_name_counts[carrier_name_counts > tresh]\n",
    "\n",
    "#then add to filtered df\n",
    "carrier_name_counts.loc['another'] = a\n",
    "\n",
    "#last plot\n",
    "carrier_name_counts.plot(kind='bar')\n",
    "plt.title('CARRIER NAME')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2.18 Place of receipt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "place_receipt = df_1['PLACE OF RECEIPT'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "88"
      ]
     },
     "execution_count": 122,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(place_receipt)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([u'YANTIAN,GUANGDONG', u'XIAMEN, CHINA', u'NINGBO',\n",
       "       u'SHANGHAI, CHINA', u'SHANGHAI', u'CHITTAGONG', u'CHITTAGONG, BD',\n",
       "       u'CHENNAI', u'NING BO', u'LAT KRABANG', u'NINGBO,ZHEJIANG',\n",
       "       u'QINGDAO', u'YANTIAN, CHINA', u'MUHAMMAD BIN QASI', u'MUNDRA, IN',\n",
       "       u'NHAVA SHEVA, IN', u'JAKARTA, ID', u'CHENNAI, IN', u'PORT KLANG',\n",
       "       u'KEELUNG', u'TAOYUAN, TA', u'XIAMEN', u'TUTICORIN', u'YANTIAN',\n",
       "       u'HONG KONG', u'KARACHI PAKISTAN', u'YANTIAN DISTRIC', u'CN',\n",
       "       u'YANTIAN, CN', u'FUZHOU CN', u'FUZHOU, CHINA', u'KAOHSIUNG',\n",
       "       u'YANTIAN GD', u'KARACHI', u'NANSHA', u'YANTIAN, PC', u'XIAMEN CN',\n",
       "       u'JIANGYIN, FUQING', u'JIEYANG', u'SEMARANG', u'XIAMEN, CN',\n",
       "       u'QINGDAO,CHINA', u'HO CHI MINH CITY', u'PORT QASIM',\n",
       "       u'JAWAHARLAL NEHRU', u'DA CHAN BAY, CN', u'HONG KONG, HK',\n",
       "       u'PORT QASIM, PAKIS', u'BAHRAIN', u'YANGSHAN, PC',\n",
       "       u'CHENNAI, INDIA', u'ZHANGJIAGANG, JIA', u'TAICHUNG',\n",
       "       u'DALIAN, CHINA', u'DALIAN', u'CHITTAGONG, BA', u'NINGBO, CHINA',\n",
       "       u'HUANGPU, GUANGDON', u'SHANGHAI,SH,CN', u'SHANGHAI,CHINA',\n",
       "       u'XIAMEN, FUJIAN', u'SHANGHAI CITY', u'STO TOMAS D/CASTI',\n",
       "       u'COLOMBO, SR', u'LOS ANGELES', u'HO CHI MINH - CAT',\n",
       "       u'YANTIAN, SHENZHEN', nan, u'HAI PHONG CITY, N', u'GUATEMALA',\n",
       "       u'KAOHSIUNG, CHINA(', u'GUATEMALA CITY', u'XIAMEN,CHINA',\n",
       "       u'SHENZHEN', u'PHNOM PENH', u'KAOHSIUNG, TAIWAN', u'TIPITAPA, NI',\n",
       "       u'COCHIN, IN', u'CHENNAI (FORMERLY', u'MANILA',\n",
       "       u'NINGBO PORT, CHIN', u'SALALAH', u'YANTIAN,CHINA',\n",
       "       u'BREMERHAVEN, GERM', u'YANTIAN - CY', u'NINGBO, PC',\n",
       "       u'NHAVA SHEVA', u'KEAMARI, KARACHI'], dtype=object)"
      ]
     },
     "execution_count": 123,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "place_receipt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "place_receipt_counts = df_1['PLACE OF RECEIPT'].value_counts(normalize=False, sort=True, ascending=False, bins=None, dropna=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "CHENNAI (FORMERLY    950\n",
       "CHENNAI, IN          266\n",
       "CHENNAI              208\n",
       "CHITTAGONG           133\n",
       "YANTIAN               88\n",
       "CHITTAGONG, BD        84\n",
       "XIAMEN                83\n",
       "SHANGHAI              56\n",
       "CHITTAGONG, BA        43\n",
       "MUHAMMAD BIN QASI     39\n",
       "NHAVA SHEVA, IN       33\n",
       "NINGBO                32\n",
       "PORT QASIM            31\n",
       "BAHRAIN               18\n",
       "MUNDRA, IN            17\n",
       "KAOHSIUNG             17\n",
       "CHENNAI, INDIA        16\n",
       "SALALAH               15\n",
       "XIAMEN, CHINA         14\n",
       "GUATEMALA CITY        14\n",
       "YANTIAN, CHINA        13\n",
       "HONG KONG             13\n",
       "KARACHI                9\n",
       "HONG KONG, HK          8\n",
       "NINGBO, CHINA          8\n",
       "NINGBO,ZHEJIANG        8\n",
       "XIAMEN, FUJIAN         8\n",
       "SHANGHAI, CHINA        7\n",
       "YANTIAN, CN            7\n",
       "XIAMEN,CHINA           7\n",
       "                    ... \n",
       "KEAMARI, KARACHI       2\n",
       "YANTIAN, PC            2\n",
       "YANTIAN GD             2\n",
       "GUATEMALA              1\n",
       "QINGDAO                1\n",
       "JIANGYIN, FUQING       1\n",
       "NINGBO, PC             1\n",
       "DALIAN                 1\n",
       "YANTIAN, SHENZHEN      1\n",
       "KAOHSIUNG, TAIWAN      1\n",
       "JAKARTA, ID            1\n",
       "JAWAHARLAL NEHRU       1\n",
       "DA CHAN BAY, CN        1\n",
       "XIAMEN, CN             1\n",
       "PORT QASIM, PAKIS      1\n",
       "HO CHI MINH - CAT      1\n",
       "JIEYANG                1\n",
       "KARACHI PAKISTAN       1\n",
       "XIAMEN CN              1\n",
       "LOS ANGELES            1\n",
       "DALIAN, CHINA          1\n",
       "YANTIAN - CY           1\n",
       "TIPITAPA, NI           1\n",
       "KAOHSIUNG, CHINA(      1\n",
       "HAI PHONG CITY, N      1\n",
       "YANGSHAN, PC           1\n",
       "BREMERHAVEN, GERM      1\n",
       "SHANGHAI,CHINA         1\n",
       "COCHIN, IN             1\n",
       "NHAVA SHEVA            1\n",
       "Name: PLACE OF RECEIPT, dtype: int64"
      ]
     },
     "execution_count": 125,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "place_receipt_counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x124345b10>"
      ]
     },
     "execution_count": 126,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAaMAAAFuCAYAAAAs43eeAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x123d98b10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#all values under trash sum to one category\n",
    "tresh = 10\n",
    "a = place_receipt_counts[place_receipt_counts <= tresh].sum()\n",
    "place_receipt_counts = place_receipt_counts[place_receipt_counts > tresh]\n",
    "\n",
    "#then add to filtered df\n",
    "place_receipt_counts.loc['another'] = a\n",
    "\n",
    "#last plot\n",
    "place_receipt_counts.plot(kind='bar')\n",
    "plt.title('PLACE OF RECEIPT')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 3 Time series plots"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3.1 Sort by arrival date"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df_1['ARRIVAL DATE DT'] = pd.to_datetime(df_1['ARRIVAL DATE'])\n",
    "df_2 = df_1.sort_values(by='ARRIVAL DATE DT')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3.2 Weight"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x12447da10>"
      ]
     },
     "execution_count": 128,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAaUAAAENCAYAAACvnXotAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nC0rGGGN84/8D/lSDESIi9VcAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x123b6cb10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(df_2['ARRIVAL DATE DT'], df_2['WEIGHT (KG)']/1000)\n",
    "plt.title('WEIGHT (TON)')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3.3 Quantity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x124610d10>"
      ]
     },
     "execution_count": 129,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAbAAAAENCAYAAABuGjCBAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nKP1/UPVgxG/vmV4AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x124531810>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(df_2['ARRIVAL DATE DT'], df_2['QUANTITY'])\n",
    "plt.title('QUANTITY')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3.4 Measurement"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x1247a1bd0>"
      ]
     },
     "execution_count": 130,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAasAAAENCAYAAACxVEqeAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nwzBqnv8PoSA3/sqWVQIAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1246c7610>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(df_2['ARRIVAL DATE DT'], df_2['MEASUREMENT'])\n",
    "plt.title('MEASUREMENT')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3.5 Container count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x1258af110>"
      ]
     },
     "execution_count": 131,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZ8AAAENCAYAAADQTGjcAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nWgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1247a1490>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(df_2['ARRIVAL DATE DT'], df_2['CONTAINER COUNT'])\n",
    "plt.title('CONTAINER COUNT')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3.5 Correlation between weight and container count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.8981227061347542"
      ]
     },
     "execution_count": 132,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_2['WEIGHT (KG)'].corr(df_2['CONTAINER COUNT'])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x125be3dd0>"
      ]
     },
     "execution_count": 133,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAaUAAAENCAYAAACvnXotAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n/wc7OKM0gSg9uAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1246c7ad0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(df_2['ARRIVAL DATE DT'], df_2['CONTAINER COUNT'], label = 'Container count')\n",
    "plt.plot(df_2['ARRIVAL DATE DT'], df_2['WEIGHT (KG)']/1000, color = 'red', label = 'Weight (Ton)')\n",
    "plt.title('CONTAINER COUNT')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 4 Things we can work with"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "arrival_dates = df_1['ARRIVAL DATE'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "weight = df_1['WEIGHT (KG)'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "foreign_port = df_1['FOREIGN PORT'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "us_port = df_1['US PORT'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "quantity = df_1['QUANTITY'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "quantity_unit = df_1['Q.UNIT'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "measurement = df_1['MEASUREMENT'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "ship_registration = df_1['SHIP REGISTERED IN'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "vessel_name = df_1['VESSEL NAME'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "container_number = df_1['CONTAINER NUMBER'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "container_count = df_1['CONTAINER COUNT'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "product_details = df_1['PRODUCT DETAILS'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "country_origin = df_1['COUNTRY OF ORIGIN'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "carrier_code = df_1['CARRIER CODE'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "carrier_name = df_1['CARRIER NAME'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "place_receipt = df_1['PLACE OF RECEIPT'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
